Books on the topic 'Recognition of characters'

Suchenwirth, Richard, Jun Guo, Irmfried Hartmann, Georg Hincha, Manfred Krause, and Zheng Zhang. Optical Recognition of Chinese Characters. Wiesbaden: Vieweg+Teubner Verlag, 1989. http://dx.doi.org/10.1007/978-3-663-13999-7.

Richard, Suchenwirth, ed. Optical recognition of Chinese characters. Braunschweig: Friedr. Vieweg, 1989.

Bushofa, B. M. F. Computer recognition of printed arabic characters. Birmingham: University of Birmingham, 1997.

La voix des personnages. Paris: Les éditions du Cerf, 2011.

Shah, Ashish. Character recognition. Manchester: University of Manchester, Departmentof Computer Science, 1997.

Komori, Saeko. A study of kanji word recognition process for Japanese as a second language. Tokyo: Kazama Shobo, 2009.

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. Beijing: Qing hua da xue chu ban she, 2012.

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

inc, International Resource Development, ed. Optical character recognition. Norwalk, Conn., U.S.A. (6 Prowitt St., Norwalk 06855): International Resource Development, 1985.

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

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

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. Berlin: Springer, 2008.

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

Li, Xiaolin. On-line handwritten Kanji character recognition. Birmingham: University of Birmingham, 1994.

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

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

Ryan, Matthew Stephen. Dynamic character recognition using Hidden Markov Models. [s.l.]: typescript, 1997.

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

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

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

United States. National Archives and Records Service. General Services Administration., ed. Technology assessment report: Speech pattern recognition, optical character recognition, digital raster scanning. Silver Spring, MD: Association for Information and Image Management, 1985.

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

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

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

Pearson, Ridley. Beyond recognition. New York: Hyperion, 1997.

Beyond recognition. New York: Hyperion, 1997.

Pearson, Ridley. Beyond recognition. Thorndike, Me: Thorndike Press, 1997.

M, Cheriet, ed. Character recognition systems: A guide for students and practioners. Hoboken, N.J: John Wiley, 2007.

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

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

Alshalchy, Ali Haider. The modelling and evaluation of a character recognition system. Leicester: Leicester Polytechnic, 1985.

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

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

Naiman, Avi C. The use of grayscale for improved character presentation. Toronto, Ont: Computer Systems Research Institute, University of Toronto, 1991.

Naiman, Avi C. The use of grayscale for improved character presentation. Toronto: University of Toronto, Dept. of Computer Science, 1991.

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

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

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

McCarthy, Anne S. Recognition technologies and users' needs: Closing the gap : an industry study : a source book. Watertown, MA (253 Mount Auburn St. Watertown 02172): Imagine, Inc., 1992.

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

McNab, Claire. Recognition factor: A Denise Cleever thriller. Ferndale, Mich: Bella Books, 2002.

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

A, Fink Gernot, and SpringerLink (Online service), eds. Markov Models for Handwriting Recognition. London: Thomas Plötz, 2011.

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

Research Institute for Advanced Computer Science (U.S.), ed. Some methods of encoding simple visual images for use with a sparse distributed memory, with applications to character recognition. [Moffett Field, Calif.]: Research Institute for Advanced Computer Science, NASA Ames Research Center, 1989.

inc, Engineering Index, ed. Optical character recognition (Feb. 81-Jul. 87): Citations from the Engineering Index database. Springfield, VA: National Technical Information Service, 1987.

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

Hincha, Georg, Richard Suchenwirth, Manfred Krause, Jun Guo, and Irmfried Hartmann. Optical Recognition of Chinese Characters. Vieweg Verlag, Friedr, & Sohn Verlagsgesellschaft mbH, 2013.

Brooks. Pattern recognition of upper-case alpha characters. SIHE, 1994.

Sun, Yilin. First and second language word recognition processes in Chinese. 1992.