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1

Liu, Zhi-Qiang. Handwriting recognition: Soft computing and probabilistic approaches. Springer, 2003.

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2

Gorskiĭ, N. D. Razpoznavanie rukopisnogo teksta: Ot teorii k praktike. Politekhnika, 1997.

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3

name, No. Document recognition and retrieval X: 22-24 January 2003, Santa Clara, California, USA. SPIE, 2002.

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4

Schenkel, Markus E. Handwriting recognition using neural networks and hidden Markov models. Hartung-Gorre, 1995.

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5

Netherlands) International Workshop on Frontiers in Handwriting Recognition (7th 2000 Amsterdam. 7th International Workshop on Frontiers in Handwriting Recognition: September 11-13, 2000, Amsterdam, the Netherlands : proceedings. International Unipen Foundation, 2000.

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6

engineer), Li Xin (Computer, ed. Ji suan ji bi ji jian bie yu yan zheng de li lun he fang fa: Computer Writer Identification and Verification Theory and Method. Qing hua da xue chu ban she, 2012.

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7

Colloque international francophone sur l'črit et le document (1st 1998 Qub̌ec, Quebec). Actes du 1er Colloque international francophone sur l'écrit et le document: Tenu dans le cadre du Congrès de l'Acfas à Québec en mai 1998. Association canadienne-française pour l'avancement des sciences, 1998.

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8

S, Doermann David, and Jäger Stefan Dr, eds. Arabic and Chinese handwriting recognition: SACH 2006 summit, College Park, MD, USA, September 27-28, 2006 : selected papers. Springer, 2008.

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9

Liu, Z. Q. Handwriting recognition: Soft computing and probabilistic approaches. Springer-Verlag, 2003.

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10

Workshop on Document Image Analysis (1997 San Juan, P.R.). Proceedings, Workshop on Document Image Analysis (DIA '97): June 20, 1997, San Juan, Puerto Rico : in cooperation with CVPR '97. IEEE Computer Society Press, 1997.

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11

Hirobumi, Nishida, and Yamada Hiromitsu, eds. Optical character recognition. J. Wiley, 1999.

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12

Moore, Caroline. Optical character recognition. Library & Information Technology Centre and British LibraryResearch & Development Department, 1990.

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13

Rice, Stephen V., George Nagy, and Thomas A. Nartker. Optical Character Recognition. Springer US, 1999. http://dx.doi.org/10.1007/978-1-4615-5021-1.

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14

H, Ogg Marlene, ed. Optical character recognition: A librarian's guide. Meckler, 1992.

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15

McCarthy, Anne S. Image character recognition (ICR): An introduction. Association for Information and Image Management, 1994.

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16

Sabourin, Conrad. Optical character recognition and document segmentation: Bibliography. Infolingua Inc., 1994.

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17

Sabourin, Conrad. Optical character recognition and document segmentation: Bibliography. Infolingua, 1994.

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18

National Bureau of Standards. Character set for handprinting: Category, hardware standard, subcategory, character recognition. U.S. Dept. of Commerce, National Bureau of Standards, 1985.

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19

Kalles, D. Skeletonisation and its application in optical character recognition. UMIST, 1993.

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20

Schantz, Herbert F. Recognition technology in the information industry. National Federation of Abstracting and Information Services, 1992.

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21

National Bureau of Standards. Optical character recognition (OCR)--Dot matrix character sets for OCR-MA. U.S. Dept. of Commerce/National Bureau of Standards, 1987.

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22

Rice, Stephen V. Optical Character Recognition: An Illustrated Guide to the Frontier. Springer US, 1999.

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23

Rice, Stephen V. Optical character recognition: An illustrated guide to the frontier. Kluwer Academic Publishers, 1999.

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24

McCarthy, Anne S. Recognition technologies and users' needs: Closing the gap : an industry study : a source book. Imagine, Inc., 1992.

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25

Chaudhuri, Arindam, Krupa Mandaviya, Pratixa Badelia, and Soumya K Ghosh. Optical Character Recognition Systems for Different Languages with Soft Computing. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-50252-6.

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26

OCR with a smile!: An operator's guide to optical character recognition. House of Scanning, 1998.

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27

Likforman-Sulem, Laurence, and Gady Agam. Document recognition and retrieval XVII: 19-21 January 2010, San Jose, California, United States. SPIE, 2010.

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28

JIS-KANJI character recognition: Featuring the Gaiji method. Van Nostrand Reinhold, 1994.

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29

Sabourin, Conrad. Optical character recognition and document segmentation: Character preprocessing, thinning, isolation, segmentation, feature extraction, cursive and multi-font recognition, writer/scriptor identification : bibliography. Infolingua, 1994.

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30

Rossetti, Barbara. Optical scanning technology for purposes other than ballot counting. National Clearinghouse on Election Administration, Federal Election Commission, 1992.

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31

Hastie, Trevor. Handwritten digit recognition via deformable prototypes. University of Toronto, Dept. of Statistics, 1992.

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32

Reimel, J. Christopher. Image processing and optical character recognition: How they work and how to implement them. American Institute of Certified Public Accountants, 1993.

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33

Likforman-Sulem, Laurence, and Kathrin Berkner. Document recognition and retrieval XVI: 20-22 January 2009, San Jose, California, USA. Edited by IS & T--the Society for Imaging Science and Technology, SPIE (Society), and Ricoh Innovations Inc. SPIE, 2009.

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34

Harmon, Craig K. Reading between the lines: An introduction to bar code technology. 2nd ed. North American Technology, 1985.

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35

Smith, John W. T. Optical character recognition: The technology and its application in information units and libraries. British Library, 1985.

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36

Horst, Bunke, ed. Recognition of whiteboard notes: Online, offline and combination. World Scientific, 2008.

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37

Liwicki, Marcus. Recognition of whiteboard notes: Online, offline and combination. World Scientific, 2008.

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38

Agam, Gady, and Christian Viard-Gaudin. Document recognition and retrieval XVIII: 26-27 January 2011, San Francisco, California, United States. Edited by SPIE (Society), IS & T--the Society for Imaging Science and Technology, and Electronic Imaging Science and Technology Symposium (2011 : San Francisco, Calif.). SPIE, 2011.

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39

Taiwan) Workshop on Image Processing and Character Recognition (1998 Tʻai-nan shih. Proceedings of Workshop on Image Processing and Character Recognition: International Computer Symposium (ICS '98) : National Cheng Kung University : Tainan, Taiwan, R.O.C. : December 17-19, 1998. National Cheng Kung University, 1998.

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40

International Conference on Document Analysis and Recognition (6th 2001 Seattle, Wash.). Proceedings, Sixth International Conference on Document Analysis and Recognition: September 10-13, 2001, Seattle, Washington, USA. IEEE Computer Society, 2001.

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41

Handwriting: Recognition, Development and Analysis. Nova Science Publishers, Incorporated, 2017.

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42

Réjean, Plamondon, ed. Progress in automatic signature verification. World Scientific, 1994.

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43

1947-, Impedovo S., and Simon Jean Claude 1923-, eds. From pixels to features III: Frontiers in handwriting recognition. North-Holland, 1992.

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44

C, Jain L., and Lazzerini Beatrice 1953-, eds. Knowledge-based intelligent techniques in character recognition. CRC Press, 1999.

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45

Philip, Lopresti Daniel, Zhou Jiangying, IS & T--the Society for Imaging Science and Technology., and Society of Photo-optical Instrumentation Engineers., eds. Document recognition and retrieval VI: 27-28 January 1999, San Jose, California. SPIE, 1999.

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46

Philip, Lopresti Daniel, Zhou Jiangying, IS & T--the Society for Imaging Science and Technology., and Society of Photo-optical Instrumentation Engineers., eds. Document recognition and retrieval VII: 26-27 January, 2000, San Jose, California. SPIE, 2000.

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47

Barney, Smith Elisa H., Taghva Kazem, IS & T--the Society for Imaging Science and Technology., and Society of Photo-optical Instrumentation Engineers., eds. Document recognition and retrieval XII: 19-20 January 2005, San Jose, California, USA. SPIE, 2005.

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48

Tapas, Kanungo, IS & T--the Society for Imaging Science and Technology., and Society of Photo-optical Instrumentation Engineers., eds. Document recognition and retrieval X: 22-24 January 2003, Santa Clara, California, USA. SPIE, 2003.

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49

(Editor), Nabeel A. Murshed, and Flavio Bortolozzi (Editor), eds. Advances in Document Image Analysis: First Brazilian Symposium, BSDIA'97, Curitiba, Brazil, November 2-5, 1997, Proceedings (Lecture Notes in Computer Science). Springer, 1997.

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50

A, Murshed Nabeel, Bortolozzi Flávio, and Brazilian Symposium on Document Image Analysis (1st : 1997 : Curitiba, Brazil), eds. Advances in document image analysis: First Brazilian symposium, BSDIA '97, Curitiba, Brazil, November 2-5, 1997 : proceedings. Springer Verlag, 1997.

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