Method and apparatus for decoding handwritten characters

Image analysis – Pattern recognition – Unconstrained handwriting

Reexamination Certificate

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C382S159000

Reexamination Certificate

active

07359551

ABSTRACT:
Disclosed is a method of performing written character recognition, including sequentially comparing a given input character with one of a series of stored character models. The step of comparing further includes the steps of: decomposing the given input character into one or more segments in accordance with a segmentation scheme associated with the present character model; evaluating the segment or segments against a segment model associated with the present character model, such that the evaluation produces a score which measures the degree of conformity with the model; repeating said step of comparing for a plurality of character models in the series of character models; and selecting the character model which is assigned the highest score and classifying the input character as the character associated with that character model.

REFERENCES:
patent: 4731857 (1988-03-01), Tappert
patent: 4864618 (1989-09-01), Wright et al.
patent: 5051736 (1991-09-01), Bennett et al.
patent: 5477012 (1995-12-01), Sekendur
patent: 5491758 (1996-02-01), Bellegarda 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: 5745599 (1998-04-01), Uchiyama et al.
patent: 5818963 (1998-10-01), Murdock et al.
patent: 5841902 (1998-11-01), Tu
patent: 5852434 (1998-12-01), Sekendur
patent: 6076734 (2000-06-01), Dougherty et al.
patent: 6256410 (2001-07-01), Nathan et al.
patent: 6964374 (2005-11-01), Djuknic et al.
patent: 2005/0169531 (2005-08-01), Fan
patent: 0953933 (1999-11-01), None
patent: 2306669 (1997-05-01), None
patent: 07-182509 (1995-07-01), None
patent: 08-249424 (1996-09-01), None
patent: 09-035001 (1997-02-01), None
patent: WO 99/18487 (1999-04-01), None
patent: WO 99/50787 (1999-10-01), None
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.
Anonymous: “Handwriting Recognition by Substroke Segmentation and Composition” IBM Technical Disclosure Bulletin, vol. 27, No. 9, Feb. 1, 1985 pp. 5167-5170, XP002374957 New York, US.
Hennig A et al: “Recognising letters in on-line handwriting using hierarchical fuzzy inference” Proceedings of the 4th International Conference on document analysis and recognition. IEEE Comp. Soc, US, vol. II, Aug. 18, 1997 pp. 936-940, ZP010244868 ISBN: 0-8186-7898-4.
Parizeau M et al., “A fuzzy-syntactic approach to allograph modeling for cursive script recognition” IEEE Transactions on pattern analysis and machine intelligence USA, vol. 17, No. 7, Jul. 1995 pp. 702-712, XP000514690 ISSN: 0162-8828.
Prevost L et al. “Model generation and cooperation in on-line omni-writer handwriting recognition” Information Fusion, 2000. Proceedings of the Third International Conference on Jul. 10-13, 2000, Piscataway, NJ, USA, IEEE vol. 2, Jul. 10, 2000, pp. 3-8, XP010505137 ISBN: 2-7257-000-0.
Vuurpijl et al. “Finding structure in diversity: A hierarchial clustering method for the categorization of allographs in handwriting” Fourth International Conference on Document Analysis and Recognition Aug. 18-20, 1997 (Whole document).

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