Image analysis – Pattern recognition – Unconstrained handwriting
Reexamination Certificate
2011-08-16
2011-08-16
Ahmed, Samir A (Department: 2624)
Image analysis
Pattern recognition
Unconstrained handwriting
C382S159000, C382S179000, C382S185000, C382S187000
Reexamination Certificate
active
08000531
ABSTRACT:
A method of classifying a character string formed from a known number of hand-written characters is disclosed. The method starts by determining character probabilities for each hand-written character in the character string. Each character probability represents a likelihood of the respective hand-written character being a respective one of a plurality of predetermined characters. Each predetermined character has a respective character type. Character templates having the known number of characters are next identified. Each character template has a respective predetermined probability and represents a respective combination of character types. Character sequence probabilities corresponding to each of the character templates having the known number of characters are next determined. The character sequence probabilities are a function of the predetermined probability of the respective character template and the character probabilities of the hand-written character in the character string. The character string is classified as the sequence of characters having the highest character sequence probability.
REFERENCES:
patent: 3755780 (1973-08-01), Sammon et al.
patent: 4731857 (1988-03-01), Tappert
patent: 4837842 (1989-06-01), Holt
patent: 4864618 (1989-09-01), Wright et al.
patent: 5051736 (1991-09-01), Bennett et al.
patent: 5151950 (1992-09-01), Hullender
patent: 5477012 (1995-12-01), Sekendur
patent: 5526443 (1996-06-01), Nakayama
patent: 5557689 (1996-09-01), Huttenlocher et al.
patent: 5642435 (1997-06-01), Loris et al.
patent: 5652412 (1997-07-01), Lazzouni et al.
patent: 5661506 (1997-08-01), Lazzouni et al.
patent: 5692073 (1997-11-01), Cass
patent: 5706364 (1998-01-01), Kopec et al.
patent: 5778361 (1998-07-01), Nanjo et al.
patent: 5796867 (1998-08-01), Chen et al.
patent: 5852434 (1998-12-01), Sekendur
patent: 6076734 (2000-06-01), Dougherty et al.
patent: 6092065 (2000-07-01), Floratos et al.
patent: 6125208 (2000-09-01), Maier et al.
patent: 6249605 (2001-06-01), Mao et al.
patent: 6327386 (2001-12-01), Mao et al.
patent: 6665436 (2003-12-01), Su et al.
patent: 6678415 (2004-01-01), Popat et al.
patent: 6964374 (2005-11-01), Djuknic et al.
patent: 7136526 (2006-11-01), Hotta et al.
patent: 7136530 (2006-11-01), Lee et al.
patent: 7336827 (2008-02-01), Geiger et al.
patent: 2003/0108239 (2003-06-01), Su et al.
patent: 2006/0050962 (2006-03-01), Geiger et al.
patent: 0841630 (1998-05-01), None
patent: 2306669 (1997-05-01), None
patent: 02-090384 (1990-03-01), None
patent: 08-180137 (1996-07-01), None
patent: 10-302025 (1998-11-01), None
patent: 2000-036008 (2000-02-01), None
patent: WO 9733249 (1997-09-01), None
patent: WO 99/18487 (1999-04-01), None
patent: WO 99/50787 (1999-10-01), None
Baird, HS et al., “A Family of European Page Readers” Pattern Recognition, 1994, vol. 2—Conference B: Computer Vision & Image Processing., Proceedings of the 12th IAPR International Conference on Jerusalem, Israel, Oct. 9-13, 1994, Los Alamiros, CA, USA ,IEEE Comput Soc, vol. 2, Oct. 9, 1994, pp. 540-543, XP010216362 ISBN: 0-8186-6270-0.
Dymetman, M., and Copperman, M., “Intelligent Paper in Electronic Publishing, Artist Imaging, and Digital Typography, Proceedings of EP '98”, Mar./Apr. 1998, Springer Verlag LNCS 1375, pp. 392-406.
Kondo, K., Matsukawa, Y., Imagawa, T., Mekata, T., “Evaluation of a fuzzy retrieval method for text documents including misrecognized characters”, Report of the Institute of Electrics, Information and Communication Engineers, Institute of Electrics, Information and Communication Engineers, vol. 99, No. 305, pp. 69-75, PRMU 99-64 to 76, Sep. 16, 1999, Japan.
Powalka et al., “Word shape analysis for a hybrid recognition system” Pattern Recognition, Elesevier, Kidlington, GB, vol. 30, No. 3, Mar. 1997, pp. 421-445, XP004058470 ISSN: 0031-3203.
Taghva et al., “An Expert System for Automatically Correcting OCR Output” Proceedings of the SPIE, SPIE, Bellingham, VA, US, vol. 2181, Feb. 9, 1994, pp. 270-278, XP 000602757 ISSN:0277-786X.
Ahmed Samir A
Rashidian Mehdi
Silverbrook Research Pty Ltd
LandOfFree
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