System and method for automated symbolic recognition...

Image analysis – Pattern recognition – Unconstrained handwriting

Reexamination Certificate

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C382S177000, C382S224000

Reexamination Certificate

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10419481

ABSTRACT:
An automated symbolic recognition system and method includes the basis for the system's feature set by identifying (a) a set of logical symbols comprising a finite class of arcpolys (lines and arcs and a point) that to the exclusion of the point, each member class has a unique (distinct) orientation, and (b) a set of subclass symbols per logical class of symbol representing a finite subclass of arcpolys (lines and arcs and a point) that to the exclusion of the point, each subclass member has a unique (distinct) extreme points size and/or depth size.

REFERENCES:
patent: 4277775 (1981-07-01), Nally et al.
patent: 4491960 (1985-01-01), Brown
patent: 4641354 (1987-02-01), Fukunaga et al.
patent: 4972496 (1990-11-01), Sklarew
patent: 5010579 (1991-04-01), Yoshida et al.
patent: 5058182 (1991-10-01), Kuan et al.
patent: 5592566 (1997-01-01), Pagallo et al.
patent: 5675665 (1997-10-01), Lyon
patent: 5812697 (1998-09-01), Sakai et al.
patent: 5812698 (1998-09-01), Platt et al.
patent: 5903668 (1999-05-01), Beernink
patent: 5970170 (1999-10-01), Kadashevich et al.
patent: 6005973 (1999-12-01), Seybold et al.
patent: 6018736 (2000-01-01), Gilai et al.
patent: 6108444 (2000-08-01), Syeda et al.
patent: 6144764 (2000-11-01), Yamakawa et al.
patent: 6249604 (2001-06-01), Huttenlocher et al.
patent: 6275611 (2001-08-01), Parthasaranthy et al.
patent: 6327386 (2001-12-01), Mao et al.
patent: 6366697 (2002-04-01), Goldberg et al.
patent: 6571013 (2003-05-01), Macey et al.
patent: 2002/0051575 (2002-05-01), Myers et al.
patent: 2004/0008883 (2004-01-01), Shi et al.
patent: 2004/0141646 (2004-07-01), Mahmoud Fahmy et al.
patent: 2006/0050962 (2006-03-01), Geiger et al.
R. Plamondon and S. Srihari; “On-Line and Off-Line Handwriting Recognition: A Comprehensive Survey”;IEEE Trans. On Pattern Analysis and Machine Intelligence; v. 22, No. 1, Jan. 2000: 63-84.
K. Reihani, “Processing hierarchy for 2-D image structures,” Int. J. Computing Systems in Engineering; vol. 5; No. 1;; pp. 41-54 (1994).
Reihani K. “Symbolic representation, modeling, and manipulation of arcs and lines,”Proc. OE/Technology '92 Intelligent Robotics&Visual Comm. Conf., 1827-22, 209-219 (1992).
Reihani, K. and W. Thompson, “Variational concepts for arcs and lines in an expert system environment,”Proc. of World Congress on Expert Systems, 3, 1784-1791 (1991).
Reihani, K. and W. Thompson, “Robust technique for basic shape recognition,”Proc. AT&T Bell Laboratory's Syntactic&Structural Pattern Recognition Conf., 366-376 (1990).
Reihani, K. and W. Thompson, “Contour extraction and smoothing techniques for handwritten character recognition,”Proc. Twentieth Annual Pittsburgh Conf. on Modeling&Simulation, 561-566 (1989).
Reihani, K. and W. Thompson, “Modeling of handwritten characters,”Proc. Nineteenth Annual Pittsburgh Conf. on Modeling&Simulation, 2177-2182 (1988).
Reihani, K. “Feature extraction system for handwritten character recognition,”Ph.D. Dissertation New Mexico State University(Dec. 1987).
Reihani, K. and W. Thompson, “Hierarchical partitioning and contour extraction algorithm,” Proc. Twenty-First Annual Pittsburgh Conf. on Modeling & Simulation, 2009-2015 (1990).

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