H. Analysis and T. , 13 3.1.1. Word segmentation techniques, p.15

T. Proposed and A. Spotting, 95 3.1. Modeling word technique for QBS representation 97 3.2. Rectangular-shape coding technique for string queries representation 101 3.3.1. The construction of the generalized Haar-like features 103 3.3.2. An automatic height estimation technique for letters in manuscripts, ., p.112

.. The-refining-filtering-module, 114 3.4.1. Vertical projection, p.118

C. Des and W. De, 142 3.1. Les techniques d'analyse holistique, p.143

A. Ghorbel, J. Ogier, and . Vincent, Adaptation des caractéristiques pseudo-Haar pour le word spotting dans les documents manuscrits, VIII. Author publications CORIA 2016 -Conférence en Recherche d'Informations et Applications-13th French Information Retrieval Conference. CIFED 2016 Colloque International Francophone sur l'Ecrit et le Document, pp.497-512, 2016.

A. Ghorbel, J. Ogier, A. Vincent-ghorbel, J. Ogier, and . Vincent, Haar-like-features for query-by-string word spotting Text extraction from comic books A segmentation free Word Spotting for handwritten documents, 17th Biennial Conference of the International Graphonomics Society [3] GREC 2015 Eleventh IAPR International Workshop on Graphics Recognition 13th International Conference on Document Analysis and Recognition, ICDAR 2015, pp.346-350, 2015.

A. Ghorbel, J. Ogier, and . Vincent, Word Spotting techniques for documents images: A comprehensive survey, In International Journal on Document Analysis and Recognition (IJDAR), 2015.

A. Andreev, N. , and K. , Word Image Matching Based on Hausdorff Distances, 2009 10th International Conference on Document Analysis and Recognition, 2009.
DOI : 10.1109/ICDAR.2009.173

A. Balasubramanian, C. V. Balasubramanian-million-meshesha, and . Jawahar, Retrieval from Document Image Collections, Proc DAS, pp.1-12, 2006.
DOI : 10.1007/11669487_1

A. Bhardwaj, D. Jose, and V. Govindaraju, Script Independent Word Spotting in Multilingual Documents, Proc. 2nd Int. Workshop Cross Lingual Inf. Access, pp.48-54, 2008.

A. De-bouard, Latin Handwriting, Encyclopaedia Britannica Eleventh Edition, 1911.

A. Fischer, A. Keller, V. Frinken, and H. Bunke, HMM-based Word Spotting in Handwritten Documents Using Subword Models, 2010 20th International Conference on Pattern Recognition, pp.3416-3419, 2010.
DOI : 10.1109/ICPR.2010.834

A. Fischer, A. Keller, V. Frinken, and H. Bunke, Lexicon-free handwritten word spotting using character HMMs, Pattern Recognition Letters, vol.33, issue.7, pp.934-942, 2012.
DOI : 10.1016/j.patrec.2011.09.009

A. Fischer, A. Keller, V. Frinken, and H. Bunke, Lexicon-free handwritten word spotting using character HMMs, Pattern Recognition Letters, vol.33, issue.7, pp.934-976, 2012.
DOI : 10.1016/j.patrec.2011.09.009

A. Fournier, Wavelets and Their Applications in Computer Graphics, SIGGRAPH'95 Course Notes, 1996.

A. G. Fink, L. Rothacker, and R. Grzeszick, Grouping Historical Postcards Using Query-by-Example Word Spotting, 2014 14th International Conference on Frontiers in Handwriting Recognition, 2014.
DOI : 10.1109/ICFHR.2014.85

A. Ghorbel, J. M. Ogier, and N. Vincent, A segmentation free Word Spotting for handwritten documents, 2015 13th International Conference on Document Analysis and Recognition (ICDAR), 2015.
DOI : 10.1109/ICDAR.2015.7333781

A. Haar, Zur Theorie der orthogonalen Funktionensysteme, Mathematische Annalen, vol.6, issue.3, pp.331-371, 1910.
DOI : 10.1007/BF01456326

URL : https://hal.archives-ouvertes.fr/hal-01333722

A. H. Toselli and E. Vidal, Fast HMM-Filler Approach for Key Word Spotting in Handwritten Documents, 2013 12th International Conference on Document Analysis and Recognition, pp.501-506, 2013.
DOI : 10.1109/ICDAR.2013.106

A. H. Toselli, E. Vidal, V. Romero, and V. Frinken, Word-Graph Based Keyword Spotting and Indexing of Handwritten Document Images, 2013.

A. K. Ngo-ho, J. C. Burie, and J. M. Ogier, Comics Page Structure Analysis Based on Automatic Panel Extraction, Grec, Nineth IAPR International Workshop on Graphics Recognition, 2011.
URL : https://hal.archives-ouvertes.fr/hal-00717299

A. Khammari, E. Lacroix, F. Nashashibi, and C. Laurgeau, Vehicle detection combining gradient analysis and adaboost classification, Proceedings. 2005 IEEE Intelligent Transportation Systems, 2005., pp.66-71, 2005.
DOI : 10.1109/ITSC.2005.1520202

A. Ko?cz, J. Alspector, M. F. Augusteijn, R. Carlson, and G. V. Popescu, A Line-Oriented Approach to Word Spotting in Handwritten Documents, Pattern Analysis and Applications, pp.153-68, 2000.

A. L. Barczak, Toward an Efficient Implementation of a Rotation Invariant Detector Using Haar-Like Features, Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2005.

A. L. Barczak, F. Dadgostar, and C. H. Messom, Real-Time Hand Tracking Based on Noninvarient Features, IEEE Instrumentation and Measurement Technology Conference, pp.2192-97, 2005.

A. L. Kesidis, E. Galiotou, B. Gatos, and I. Pratikakis, A word spotting framework for historical machine-printed documents, International Journal on Document Analysis and Recognition (IJDAR), vol.19, issue.4, 2011.
DOI : 10.1016/S0262-8856(00)00098-6

A. Mishra, K. Alahari, and C. V. Jawahar, Scene Text Recognition using Higher Order Language Priors, Procedings of the British Machine Vision Conference 2012, 2012.
DOI : 10.5244/C.26.127

URL : https://hal.archives-ouvertes.fr/hal-00818183

A. P. Giotis, G. Sfikas, C. Nikou, and B. Gatos, Shape-based word spotting in handwritten document images, 2015 13th International Conference on Document Analysis and Recognition (ICDAR), 2015.
DOI : 10.1109/ICDAR.2015.7333824

A. Shrivastava, T. Malisiewicz, A. Gupta, and A. A. Efros, Datadriven Visual Similarity for Cross Domain Image Matching Annales de L'insée, ACM Trans. Graph. TOG Proc. ACM SIGGRAPH ASIA, issue.40, 1980.

B. Bley, Feldpostkarten Im 1. Weltkrieg (Feldspot Postcards of World War I), Private Collection

B. Gatos and I. Pratikakis, Segmentation-Free Word Spotting in Historical Printed Documents ICDAR, 2009.

B. Gatos, N. Papamarkos, C. , and C. , A binary-tree-based OCR technique for machine-printed characters, Engineering Applications of Artificial Intelligence, vol.10, issue.4, pp.403-415, 1997.
DOI : 10.1016/S0952-1976(97)00013-4

B. Gatos, T. Causer, K. Grint, V. Romero, J. A. Sanchez et al., Ground-Truth Production in the Transcriptorium Project, 2014 11th IAPR International Workshop on Document Analysis Systems, 2014.
DOI : 10.1109/DAS.2014.23

B. Gatos, T. Konidaris, K. Ntzios, I. Pratikakis, and S. J. Perantonis, A segmentation-free approach for keyword search in historical typewritten documents, Eighth International Conference on Document Analysis and Recognition (ICDAR'05), 2005.
DOI : 10.1109/ICDAR.2005.30

C. Guerin, C. Rigaud, A. Mercier, F. Ammar-boudjelal, K. Bertet et al., eBDtheque: A Representative Database of Comics, 2013 12th International Conference on Document Analysis and Recognition, 2013.
DOI : 10.1109/ICDAR.2013.232

URL : https://hal.archives-ouvertes.fr/hal-00914860

C. H. Messom and A. L. Barczak, Stream processing for fast and efficient rotated Haar-like features using rotated integral images, International Journal of Intelligent Systems Technologies and Applications, vol.7, issue.1, pp.40-57, 2009.
DOI : 10.1504/IJISTA.2009.025105

C. Ponsard and V. Fries, An Accessible Viewer for Digital Comic Books, ICCHP, LNCS 5105, 2008.
DOI : 10.1007/978-3-540-70540-6_81

C. Rigaud, C. Guérin, D. Karatzas, J. C. Burie, and J. M. Ogier, Knowledge-driven understanding of images in comic books, International Journal on Document Analysis and Recognition (IJDAR), vol.87, issue.6, 2015.
DOI : 10.1145/321796.321811

URL : https://hal.archives-ouvertes.fr/hal-01144856

C. Rigaud, D. Karatzas, J. Weijer, J. C. Burie, and J. M. Ogier, Automatic Text Localisation in Scanned Comic Books, Proceedings of the International Conference on Computer Vision Theory and Applications (VISAPP), pp.814-819, 2013.
URL : https://hal.archives-ouvertes.fr/hal-00841492

C. Rigaud, N. Tsopze, J. C. Burie, and J. M. Ogier, Robust Frame and Text Extraction from Comic Books, Grec, Nineth IAPR International Workshop on Graphics Recognition, 2011.
DOI : 10.1007/978-3-540-70540-6_81

URL : https://hal.archives-ouvertes.fr/hal-00841493

C. Y. Su, R. I. Chang, and J. C. Liu, Recognizing Text Elements for SVG Comic Compression and Its Novel Applications, 2011 International Conference on Document Analysis and Recognition, pp.329-1333, 2011.
DOI : 10.1109/ICDAR.2011.267

M. Aldavert, R. Rusiñol, J. Toledo, and . Lladós, Integrating Visual and Textual Cues for Query-by-String Word Spotting, 2013 12th International Conference on Document Analysis and Recognition, pp.511-526, 2013.
DOI : 10.1109/ICDAR.2013.108

D. A. Lisin, M. A. Mattar, M. B. Blaschko, M. C. Benfield, and E. G. , Learned-miller Combining Local and Global Image Features for Object Class Recognition, Proc. IEEE CVPR Workshop Learn. Comput. Vis. Pattern Recognit, pp.47-55, 2005.

D. Fernandez, J. Lladós, and A. Fornés, Handwritten Word Spotting in Old Manuscript Images Using a Pseudo-structural Descriptor Organized in a Hash Structure, Iberian Conference on Pattern Recognition and Image Analysis, pp.628-663, 2011.
DOI : 10.1007/s10032-006-0027-8

D. Fernãndez, P. Riba, A. Fornés, and J. Lladõs, On the Influence of Key Point Encoding for Handwritten Word Spotting, 2014 14th International Conference on Frontiers in Handwriting Recognition, 2014.
DOI : 10.1109/ICFHR.2014.86

D. G. Long, The Manuscripts of Jeremy Bentham: A Chronological Index to the Collection in the Library of University College: Based on the Catalogue by A. Taylor Milne The College, 1981.

D. Sankoff and J. , Time Warps, String Edits, and Macromolecules: The Theory and Practice of Sequence Comparision, 1999.

D. Yankowitz and A. M. Bruckstein, New Method for Image Segmentation Computer Vision, Graphics and Image Processing, pp.82-95, 1989.

E. J. Keogh and M. J. Pazzani, Derivative Dynamic Time Warping, First SIAM International Conference on Data Mining, 2001.
DOI : 10.1137/1.9781611972719.1

F. Crow, Summed-Area Tables for Texture Mapping, SIGGRAPH, vol.84, pp.207-219, 1984.

F. H. Harmuth, Sequency Theory Foundations and Applica Tions, 1978.

F. Moreno-noguer, Deformation and illumination invariant feature point descriptor, CVPR 2011, pp.1593-1600, 2011.
DOI : 10.1109/CVPR.2011.5995529

F. R. Chen, D. Bloomberg, and L. Wilcox, Spotting Phrases in Lines of Imaged Text, Proc. SPIE Doc. Recognit. II Int. Soc. Opt. Eng. SPIE°, 1995.

G. A. Ramirez and O. Fuentes, Multi-Pose Face Detection with Asymmetric Haar Features Application of Computer Vision, 2008.

G. Khaissidi, Y. Elfakir, M. Mrabti, M. Yacoubi, D. Chenouni et al., Segmentation-free Word Spotting for Handwritten Arabic Documents, International Journal of Interactive Multimedia and Artificial Intelligence, vol.4, issue.1, 2016.
DOI : 10.9781/ijimai.2016.411

URL : https://hal.archives-ouvertes.fr/hal-01426917

H. A. Glucksman, Classification of Mixed-Font Alphabetics by Characteristic Loci, Dig. First Annu. IEEE Comput. Conf, pp.138-179, 1967.

H. Cao and V. Govindaraju, Template-Free Word Spotting in LowQuality Manuscripts, 6th Int'l Conf. on Advances in Pattern Recognition, 2007.

H. Chatbri, P. Kwan, and K. Kameyama, An Application-Independent and Segmentation-Free Approach for Spotting Queries in Document Images, 2014 22nd International Conference on Pattern Recognition, 2014.
DOI : 10.1109/ICPR.2014.498

I. Z. Yalniz and R. Manmatha, An Efficient Framework for Searching Text in Noisy Document Images, 2012 10th IAPR International Workshop on Document Analysis Systems, pp.48-52, 2012.
DOI : 10.1109/DAS.2012.18

J. Almazán, A. Gordo, A. Fornés, and E. Valveny, Efficient Exemplar Word Spotting, Procedings of the British Machine Vision Conference 2012, 2012.
DOI : 10.5244/C.26.67

J. Almazán, A. Gordo, A. Fornés, and E. Valveny, Handwritten Word Spotting with Corrected Attributes, 2013 IEEE International Conference on Computer Vision, pp.1017-1059, 2013.
DOI : 10.1109/ICCV.2013.130

J. Almazãn, D. Fernãndez, A. Fornés, J. Lladõs, and E. Valveny, A Coarse-to-Fine Approach for Handwritten Word Spotting in Large Scale Historical Documents Collection, 2012 International Conference on Frontiers in Handwriting Recognition, pp.453-58, 2012.
DOI : 10.1109/ICFHR.2012.151

J. A. Rodriguez-serrano and F. Perronnin, Handwritten Word Image Retrieval with Synthesized Typed Queries, 2009 10th International Conference on Document Analysis and Recognition, 2009.
DOI : 10.1109/ICDAR.2009.201

J. A. Rodríguez-serrano and F. Perronnin, Handwritten word-spotting using hidden Markov models and universal vocabularies, Pattern Recognition, vol.42, issue.9, pp.2106-2122, 2009.
DOI : 10.1016/j.patcog.2009.02.005

J. Barreto, P. Menezes, and J. Dias, Human-robot interaction based on Haar-like features and eigenfaces, IEEE International Conference on Robotics and Automation, 2004. Proceedings. ICRA '04. 2004, 2004.
DOI : 10.1109/ROBOT.2004.1308099

J. J. Marcos, Fonts for Latin Palaeography, Encyclopaedia Britannica Eleventh Edition, 2011.

J. Li, Z. G. Fan, Y. Wu, and N. Le, Document Image Retrieval with Local Feature Sequences, 2009 10th International Conference on Document Analysis and Recognition, 2009.
DOI : 10.1109/ICDAR.2009.46

J. Lladós, M. Rusiñol, A. Fornés, D. Fernández, and A. Dutta, On the Influence of Word Representation for Hadwritten Word Spotting in Historical Documents, International Journal of Pattern Recognition and Artificial Intelligence, 2012.

J. Puigcerver, A. Toselli, and E. Vidal, Word-Graph-Based Handwriting Keyword Spotting of Out-of-Vocabulary Queries, 2014 22nd International Conference on Pattern Recognition, pp.2035-2075, 2014.
DOI : 10.1109/ICPR.2014.355

J. Puigcerver, A. H. Toselli, and E. Vidal, ICDAR 2015 Competition on Keyword Spotting for Handwritten Documents, 13th International Conference on Document Analysis and Recognition ICDAR 2015, 2015.

J. Puigcerver, A. Toselli, and E. Vidal, Querying out-of-vocabulary words in lexicon-based keyword spotting, Journal Article Published 3 Feb 2016 in Neural Computing and Applications, 2016.
DOI : 10.1109/ICFHR.2012.264

J. Rodríguez-serrano and F. Perronnin, Local Gradient Histogram Features for Word Spotting in Unconstrained Handwritten Documents ICFHR, 2008.

J. Rothfeder, S. Feng, and T. M. Rath, Using Corner Feature Correspondences to Rank Word Images by Similarity, 2003 Conference on Computer Vision and Pattern Recognition Workshop, 2003.
DOI : 10.1109/CVPRW.2003.10021

H. Arai and . Tolle, Method for Automatic E-Comic Scene Frame Extraction for Reading Comic on Mobile Devices, 2010 Seventh International Conference on Information Technology: New Generations, 2010.
DOI : 10.1109/ITNG.2010.22

K. Khurshid, C. Faure, and N. Vincent, A Novel Approach for Word Spotting Using Merge-Split Edit Distance, Computer Analysis of Images and Patterns, 13th International Conference, pp.213-233, 2009.
DOI : 10.1007/978-3-642-03767-2_26

K. Terasawa and Y. Tanaka, Locality Sensitive Pseudocode for Document Images, IEEE Proc. Int. Conf. Doc. Anal. Recognit. ICDAR'07, pp.73-77, 2007.

K. Terasawa and Y. Tanaka, Slit Style HOG Feature for Document Image Word Spotting, 2009 10th International Conference on Document Analysis and Recognition, pp.116-136, 2009.
DOI : 10.1109/ICDAR.2009.118

K. Terasawa, H. Imura, and Y. Tanaka, Automatic Evaluation Framework for Word Spotting, 2009 10th International Conference on Document Analysis and Recognition, pp.276-280, 2009.
DOI : 10.1109/ICDAR.2009.119

K. Terasawa, T. Nagasaki, and T. Kawashima, Eigenspace method for text retrieval in historical document images, Eighth International Conference on Document Analysis and Recognition (ICDAR'05), 2005.
DOI : 10.1109/ICDAR.2005.99

K. Wang, B. Babenko, and S. Belongie, End-to-End Scene Text Recognition, ICCV, 2011.

K. Zagoris, I. Pratikakis, and B. Gatos, Segmentation-Based Historical Handwritten Word Spotting Using Document-Specific Local Features, 2014 14th International Conference on Frontiers in Handwriting Recognition, 2014.
DOI : 10.1109/ICFHR.2014.10

K. Zagoris, N. Papamarkos, and C. Chamzas, Web Document Image Retrieval System Based on Word Spotting, 2006 International Conference on Image Processing, 2006.
DOI : 10.1109/ICIP.2006.312497

L. Daubechies and W. Sweldens, Factoring wavelet transforms into lifting steps, The Journal of Fourier Analysis and Applications, vol.34, issue.5, pp.247-69, 1998.
DOI : 10.1109/78.157221

L. Rothacker, G. A. Fink, P. Banerjee, U. Bhattacharaya, and B. B. Chaudhuri, Bag-of-features HMMs for segmentation-free Bangla word spotting, Proceedings of the 4th International Workshop on Multilingual OCR, MOCR '13, 2013.
DOI : 10.1145/2505377.2505384

L. Rothacker, L. Vajda, and G. A. Fink, Bag-of-Features Representations for Offline Handwritting Recognition Applied to Arabic Script, In ICFHR, pp.149-54, 2012.

L. Rothacker, M. Rusinol, and G. A. Fink, Bag-of-Features HMMs for Segmentation-Free Word Spotting in Handwritten Documents, 2013 12th International Conference on Document Analysis and Recognition, pp.1305-1314, 2013.
DOI : 10.1109/ICDAR.2013.264

M. H. Newman, Alan Mathison Turing. 1912-1954, Biographical Memoirs of Fellows of the Royal Society, vol.1, issue.0, pp.253-226, 1912.
DOI : 10.1098/rsbm.1955.0019

M. Jones and P. Viola, Fast Multi-View Face Detection, 2003.

M. Jones, P. Viola, and D. Snow, Detecting Pedestrians Using Patterns of Motion and Appearance, 2003.

M. Kassis and J. , Word Spotting Using Radial Descriptor, 2014 14th International Conference on Frontiers in Handwriting Recognition, 2014.
DOI : 10.1109/ICFHR.2014.71

M. Keyvanpour, R. Tavoli, and S. Mozaffari, Document Image Retrieval Based on Keyword Spotting Using Relevance Feedback, International Journal of Engineering, vol.27, issue.1 (A), pp.7-14, 2013.
DOI : 10.5829/idosi.ije.2014.27.01a.02

M. Kolsch and M. Turk, Analysis of rotational robustness of hand detection with a Viola-Jones detector, Proceedings of the 17th International Conference on Pattern Recognition, 2004. ICPR 2004., pp.107-117, 2004.
DOI : 10.1109/ICPR.2004.1334480

M. Makridis, N. Nikolaou, and B. Gatos, An Efficient Word Segmentation Technique for Historical and Degraded Machine-Printed Documents, Ninth International Conference on Document Analysis and Recognition (ICDAR 2007), pp.178-182, 2007.
DOI : 10.1109/ICDAR.2007.4378699

M. Oren, C. Papageorgiou, P. Sinha, E. Osuna, and T. Poggio, Pedestrian detection using wavelet templates, Proceedings of IEEE Computer Society Conference on Computer Vision and Pattern Recognition, pp.193-99, 1997.
DOI : 10.1109/CVPR.1997.609319

M. Rusinõl and J. Llados, Word and Symbol Spotting Using Spatial Organization of Local Descriptors, 2008 The Eighth IAPR International Workshop on Document Analysis Systems, 2008.
DOI : 10.1109/DAS.2008.24

M. Rusinõl and J. Llados, A performance evaluation protocol for symbol spotting systems in terms of recognition and location indices, International Journal on Document Analysis and Recognition (IJDAR), vol.8, issue.4, pp.83-96, 2009.
DOI : 10.1007/11767978

M. Rusiñol, D. Aldavert, R. Toledo, and J. Lladós, Browsing Heterogeneous Document Collections by a Segmentation-Free Word Spotting Method, 2011 International Conference on Document Analysis and Recognition, 2011.
DOI : 10.1109/ICDAR.2011.22

M. Rusiñol, D. Aldavert, R. Toledo, and J. Lladós, Efficient segmentation-free keyword spotting in historical document collections, Pattern Recognition, vol.48, issue.2, pp.545-55, 2015.
DOI : 10.1016/j.patcog.2014.08.021

M. Yamada, R. Budiarto, M. Endo, and S. Miyazaki, Comic Image Decomposition for Reading Comics on Cellular Phones, IEICE Transactions, 2004.

E. Doulgeri and . Kavallieratou, Retrieval of historical documents by word spotting, Document Recognition and Retrieval XVI, 2009.
DOI : 10.1117/12.805602

J. Pyun, H. Sayah, and N. Vincent, Adaptative Haar-like Features for Head Pose Estimation, 11th International Conference ICIAR 2014, pp.94-101, 2014.

O. S. Jahromi, B. A. Francis, and R. H. Kwong, Algebraic theory of optimal filterbanks, IEEE Transactions on Signal Processing, vol.51, issue.2, pp.442-57, 2003.
DOI : 10.1109/TSP.2002.806996

P. Bilane, S. Bres, K. Challita, and H. Emptoz, Indexation of Syriac manuscripts using directional features, 2009 16th IEEE International Conference on Image Processing (ICIP), pp.1841-1844, 2009.
DOI : 10.1109/ICIP.2009.5413581

URL : https://hal.archives-ouvertes.fr/hal-01437751

P. Gray, Alan Turing ? Time 100 People of the Century, Time Magazine, 1999.

. Jorgensen, Matrix Factorizations, Algorithms, Wavelets Notices of the, pp.880-94, 2003.

P. Keaton, H. Greenspan, and R. Goodman, Keyword spotting for cursive document retrieval, Proceedings Workshop on Document Image Analysis (DIA'97), pp.74-82, 1997.
DOI : 10.1109/DIA.1997.627095

P. Negri, X. Clady, S. M. Hanif, and L. Prevost, A Cascade of Boosted Generative and Discriminative Classifiers for Vehicle Detection, EURASIP Journal on Advances in Signal Processing, vol.2008, issue.1, 2008.
DOI : 10.1016/j.patrec.2005.03.005

P. Porwik and A. Lisowska, The Haar-Wavelet Transform in Digital Image Processing: Its Status and Achievements, Machine Graphics and Vision, vol.13, pp.79-98, 2004.

P. S. Hiremath and S. Shivashankar, Wavelet based co-occurrence histogram features for texture classification with an application to script identification in a document image, Pattern Recognition Letters, vol.29, issue.9, pp.1182-89, 2008.
DOI : 10.1016/j.patrec.2008.01.012

P. Viola and M. Jones, Rapid object detection using a boosted cascade of simple features, Proceedings of the 2001 IEEE Computer Society Conference on Computer Vision and Pattern Recognition. CVPR 2001, pp.511-529, 2001.
DOI : 10.1109/CVPR.2001.990517

P. Wang, V. Eglin, C. Garcia, C. Largeron, J. Liadõs et al., A Coarse-to-Fine Word Spotting Approach for Historical Handwritten Documents Based on Graph Embedding and Graph Edit Distance, 2014 22nd International Conference on Pattern Recognition, pp.3074-79, 2014.
DOI : 10.1109/ICPR.2014.530

URL : https://hal.archives-ouvertes.fr/ujm-01017646

R. Claypoole, G. Davis, W. Sweldens, and R. Baraniuk, Adaptive Wavelet Transforms for Image Coding, Asilomar Conference on Signals, Systems and Computers, pp.416-443, 2007.

R. F. Moghaddam and M. Cheriet, Application of Multi-Level Classifiers and Clustering for Automatic Word Spotting in Historical Document Images, 2009 10th International Conference on Document Analysis and Recognition, pp.511-526, 2009.
DOI : 10.1109/ICDAR.2009.104

R. Lienhart and J. Maydt, An extended set of Haar-like features for rapid object detection, Proceedings. International Conference on Image Processing, pp.900-903, 2002.
DOI : 10.1109/ICIP.2002.1038171

R. Lienhart, L. Liang, and A. Kuranov, A detector tree of boosted classifiers for real-time object detection and tracking, 2003 International Conference on Multimedia and Expo. ICME '03. Proceedings (Cat. No.03TH8698), pp.277-80, 2003.
DOI : 10.1109/ICME.2003.1221607

R. Lienhart, R. Kuranov, and V. Pisarevsky, Empirical Analysis of Detection Cascades of Boosted Classifiers for Rapid Object Detection, 25th Pattern Recognition Symposium, pp.297-304, 2003.
DOI : 10.1007/978-3-540-45243-0_39

R. Manmatha, C. Han, and E. M. Riseman, Word spotting: a new approach to indexing handwriting, Proceedings CVPR IEEE Computer Society Conference on Computer Vision and Pattern Recognition, pp.631-668, 1996.
DOI : 10.1109/CVPR.1996.517139

R. Manmatha, C. Han, E. M. Riseman, and W. B. Croft, Indexing handwriting using word matching, Proceedings of the first ACM international conference on Digital libraries , DL '96, pp.151-59, 1996.
DOI : 10.1145/226931.226960

R. Manmatha and J. Rothfeder, A scale space approach for automatically segmenting words from historical handwritten documents, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.27, issue.8, pp.1212-1225, 2005.
DOI : 10.1109/TPAMI.2005.150

R. Manmatha and W. B. Croft, Word Spotting: Indexing Handwritten Archives, Intelligent Multimedia Information Retrieval Collection, pp.43-64, 1997.

R. Saabni and J. El-sana, Keyword Searching for Arabic Handwriting, Int. Conf. Front. Handwrit. Recognit. ICFHR Montr. Can, pp.271-76, 2008.

R. S. Stankovic and B. J. Falkowski, Haar Functions and Transforms and Their Generalizations, Proc IEEE Int Conf Inform, Commun Signal Processing, pp.1-5, 1997.

R. S. Stankovic and B. J. Falkowski, The Haar wavelet transform: its status and achievements, Computers & Electrical Engineering, vol.29, issue.1, pp.25-44, 2003.
DOI : 10.1016/S0045-7906(01)00011-8

R. Shekhar and C. V. Jawahar, Word Image Retrieval Using Bag of Visual Words, 2012 10th IAPR International Workshop on Document Analysis Systems, pp.297-301, 2012.
DOI : 10.1109/DAS.2012.96

R. Smith, An Overview of the Tesseract OCR Engine, Ninth International Conference on Document Analysis and Recognition (ICDAR 2007) Vol 2, pp.629-633, 2007.
DOI : 10.1109/ICDAR.2007.4376991

. Szeliski, Algorithms and Applications Computer Vision, pp.201-214, 2010.

R. W. Proctor and K. P. Vu, Human Information Processing: An Overview for Human-Computer Interaction, The Human-Computer Interaction Handbook, L. Erlbaum Associates, pp.35-51, 2003.

. Audithan, Document Text Extraction from Document Images Using Haar Discrete Wavelet Transform, European Journal of Scientific Research, vol.36, pp.502-514, 2009.

L. L. Bai and . Tan, Keyword Spotting in Document Images through Word Shape Coding, 2009 10th International Conference on Document Analysis and Recognition, 2009.
DOI : 10.1109/ICDAR.2009.54

S. Du, N. Zheng, Q. You, Y. Wu, M. Yuan et al., Rotated Haar-Like Features for Face Detection with In-Plane Rotation, 12th International Conference, pp.18-20, 2006.
DOI : 10.1007/11890881_15

S. En, C. Petitjean, S. Nicolas, and L. Heutte, A scalable pattern spotting system for historical documents, Pattern Recognition, vol.54, pp.149-61, 2016.
DOI : 10.1016/j.patcog.2016.01.014

S. Fidler, J. Yao, and R. Urtasun, Describing the Scene as a Whole: Joint Object Detection, Scene Classification and Semantic Segmenta-Tion, IEEE Conference on Computer Vision and Pattern Recognition, pp.702-709, 2012.

S. Lazebnik, C. Schmid, and J. Ponce, Beyond Bags of Features: Spatial Pyramid Matching for Recognizing Natural Scene Categories, 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, Volume 2 (CVPR'06), pp.2169-78, 2006.
DOI : 10.1109/CVPR.2006.68

URL : https://hal.archives-ouvertes.fr/inria-00548585

S. Lu, L. Linlin, C. L. Tan, S. Marinai, E. Marino et al., 1 Document Image Retrieval through Word Shape Coding Indexing and Retrieval of Words in Old Documents, 7th International Conference on Document Analysis and Recognition ICDAR, pp.232-227, 2003.

S. Marinai, E. Marino, F. Cesarini, and G. Soda, A general system for the retrieval of document images from digital libraries, First International Workshop on Document Image Analysis for Libraries, 2004. Proceedings., pp.150-73, 2004.
DOI : 10.1109/DIAL.2004.1263246

S. Marinai, S. Fain, E. Marino, and G. Soda, Efficient Word Retrieval by Means of SOM Clustering and PCA, Workshop Doc. Anal. Syst. VII Lect. Notes Comput. Sci, issue.3872, pp.336-347, 2006.
DOI : 10.1007/11669487_30

. Mccloud, Understanding Comics-the Invisible Art, 1994.

K. Mitri, H. Pervlz, A. Surmann, and . Nchter, Fast Color-Independent Ball Detection for Mobile Robots, Mechatronics and Robotics, pp.900-905, 2004.

H. Srihari, P. Srinivasan, C. Babu, and . Bhole, Handwritten Arabic Word Spotting Using the Cedarabic Document Analysis System, Symposiumon Document Image UnderstandingTechnology(SDIUT), pp.123-132, 2005.

S. Thomas, C. Chatelain, ;. L. Heutte-;-t, and . Paquet, An Information Extraction Model for Unconstrained Handwritten Documents, 2010 20th International Conference on Pattern Recognition, pp.3412-3427, 2010.
DOI : 10.1109/ICPR.2010.833

URL : https://hal.archives-ouvertes.fr/hal-00486107

S. Wshah, G. Kumar, and V. Govindaraju, Script Independent Word Spotting in Offline Handwritten Documents Based on Hidden Markov Models, 2012 International Conference on Frontiers in Handwriting Recognition, pp.14-19, 2012.
DOI : 10.1109/ICFHR.2012.264

T. Adamek, N. E. O-'connor, and A. F. Smeaton, Word matching using single closed contours for indexing handwritten historical documents, International Journal of Document Analysis and Recognition (IJDAR), vol.29, issue.2, 2007.
DOI : 10.1007/s10032-006-0024-y

T. Blu and M. Unser, Wavelets, fractals, and radial basis functions, IEEE Transactions on Signal Processing, vol.50, issue.3, pp.543-53, 2002.
DOI : 10.1109/78.984733

T. Burghardt, B. Thomas, P. J. Barham, and J. Calic, Automated Visual Recognition of Individual African Penguins, Fifth International Penguin Conference, 2004.

T. Konidaris, B. Gatos, K. Ntzios, I. Pratikakis, S. Theodoridis et al., Keyword-guided word spotting in historical printed documents using synthetic data and user feedback, International Journal of Document Analysis and Recognition (IJDAR), vol.20, issue.3, pp.167-77, 2007.
DOI : 10.1007/s10032-007-0042-4

T. Konidaris, B. Gatos, S. Perantonis, and A. Kesidis, Keyword Matching in Historical Machine-Printed Documents Using Synthetic Data, Word Portions and Dynamic Time Warping, 2008 The Eighth IAPR International Workshop on Document Analysis Systems, 2008.
DOI : 10.1109/DAS.2008.64

T. Malisiewicz, A. Gupta, and A. Efros, Ensemble of Exemplar-SVMs for Object Detection and beyond ICCV, 2011.

T. Mondal, N. Ragot, J. Y. Ramel, and U. , Performance evaluation of DTW and its variants for word spotting in degraded documents, 2015 13th International Conference on Document Analysis and Recognition (ICDAR), 2015.
DOI : 10.1109/ICDAR.2015.7333939

URL : https://hal.archives-ouvertes.fr/hal-01191710

T. Rath and R. Manmatha, Features for word spotting in historical manuscripts, Seventh International Conference on Document Analysis and Recognition, 2003. Proceedings., pp.218-240, 2003.
DOI : 10.1109/ICDAR.2003.1227662

T. Rath, S. Kane, A. Lehman, E. Partridge, and R. Manmatha, Indexing for a Digital Library of George Washington's Manuscripts: A Study of Word Matching Techniques, 2002.

A. Treisman, Preattentive Processing in Vision Computer Vision, Graphics, and Image Processing, pp.156-77, 1985.

U. V. Marti and H. Bunke, USING A STATISTICAL LANGUAGE MODEL TO IMPROVE THE PERFORMANCE OF AN HMM-BASED CURSIVE HANDWRITING RECOGNITION SYSTEM, International Journal of Pattern Recognition and Artificial Intelligence, vol.30, issue.01, pp.65-90, 2001.
DOI : 10.1109/5.119564

V. Frinken, A. Fischer, and H. Bunke, A Novel Word Spotting Algorithm Using Bidirectional Long Short-Term Memory Neural Networks, Artifitial Neural Netw. Pattern Recognit, pp.185-96, 2010.
DOI : 10.1007/978-3-642-12159-3_17

V. Frinken, A. Fischer, H. Bunke, and R. Manmatha, Adapting BLSTM Neural Network Based Keyword Spotting Trained on Modern Data to Historical Documents, 2010 12th International Conference on Frontiers in Handwriting Recognition, pp.352-57, 2010.
DOI : 10.1109/ICFHR.2010.61

V. Frinken, A. Fischer, R. Manmatha, and H. Bunke, A Novel Word Spotting Method Based on Recurrent Neural Networks, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.34, issue.2, 2012.
DOI : 10.1109/TPAMI.2011.113

V. Lavrenko, T. Rath, and R. Manmatha, Holistic word recognition for handwritten historical documents, First International Workshop on Document Image Analysis for Libraries, 2004. Proceedings., pp.278-287, 2004.
DOI : 10.1109/DIAL.2004.1263256

V. Papavassiliou, T. Stafylakis, V. Katsouros, and G. Carayannis, Handwritten document image segmentation into text lines and words, Pattern Recognition, vol.43, issue.1, pp.369-77, 2010.
DOI : 10.1016/j.patcog.2009.05.007

W. Pantke, V. Margner, and T. Fingscheidt, On Evaluation of Segmentation-Free Word Spotting Approaches without Hard Decisions, 2013 12th International Conference on Document Analysis and Recognition, pp.1300-1304, 2013.
DOI : 10.1109/ICDAR.2013.263

X. Shu and X. J. Wu, A novel contour descriptor for 2D shape matching and its application to image retrieval, Image and Vision Computing, vol.29, issue.4, pp.286-94, 2011.
DOI : 10.1016/j.imavis.2010.11.001

X. Zhang and C. L. Tan, Segmentation-Free Keyword Spotting for Handwritten Documents Based on Heat Kernel Signature, 2013 12th International Conference on Document Analysis and Recognition, pp.827-858, 2013.
DOI : 10.1109/ICDAR.2013.169

X. Zhang, U. Pal, and C. L. Tan, Segmentation-Free Keyword Spotting for Bangla Handwritten Documents, 2014 14th International Conference on Frontiers in Handwriting Recognition, 2014.
DOI : 10.1109/ICFHR.2014.70

Y. Freund and R. E. Schapire, A Decision-Theoritic Generalization of on-Line Learning and an Application to Boosting, Computational Learning Theory: Eurocolt '95, pp.23-37, 1995.

Y. In, T. Oie, M. Higuchi, S. Kawasaki, A. Koike et al., Fast Frame Decomposition and Sorting by Contour Tracing for Mobile Phone Comic Images, International Journal of Systems Applications, Engineering and Development, 2011.

Y. Leydier, F. Lebourgeois, and H. Emptoz, Textual indexation of ancient documents, Proceedings of the 2005 ACM symposium on Document engineering , DocEng '05, pp.111-128, 2005.
DOI : 10.1145/1096601.1096630

URL : https://hal.archives-ouvertes.fr/hal-01592827

Y. Leydier, F. Lebourgeois, and H. Emptoz, Text search for medieval manuscript images, Pattern Recognition, vol.40, issue.12, 2007.
DOI : 10.1016/j.patcog.2007.04.024

URL : https://hal.archives-ouvertes.fr/hal-01593298

Y. Liang, M. C. Fairhurst, and R. M. Guest, A synthesised word approach to word retrieval in handwritten documents, Pattern Recognition, vol.45, issue.12, 2012.
DOI : 10.1016/j.patcog.2012.05.024

Y. Lu and C. L. Tan, CHINESE WORD SEARCHING IN IMAGED DOCUMENTS, International Journal of Pattern Recognition and Artificial Intelligence, vol.24, issue.02, pp.229-275, 2004.
DOI : 10.1016/S0031-3203(97)83110-X

Y. Lu and M. Shridhar, Character segmentation in handwritten words ??? An overview, Pattern Recognition, vol.29, issue.1, pp.77-96, 1996.
DOI : 10.1016/0031-3203(95)00072-0

Y. Xia, Z. B. Yang, and K. Q. Wang, Chinese Calligraphy Word Spotting Using Elastic HOG Features and Derivatives Dynamic Time Warping, Journal Of Harbin Institute of Technology, pp.21-27, 2014.