Image analysis – Pattern recognition – On-line recognition of handwritten characters
Patent
1993-01-27
1996-02-13
Boudreau, Leo
Image analysis
Pattern recognition
On-line recognition of handwritten characters
382188, 382228, G06K 900
Patent
active
054917581
ABSTRACT:
Methods and apparatus are disclosed for recognizing handwritten characters in response to an input signal from a handwriting transducer. A feature extraction and reduction procedure is disclosed that relies on static or shape information, wherein the temporal order in which points are captured by an electronic tablet may be disregarded. A method of the invention generates and processes the tablet data with three independent sets of feature vectors which encode the shape information of the input character information. These feature vectors include horizontal (x-axis) and vertical (y-axis) slices of a bit-mapped image of the input character data, and an additional feature vector to encode an absolute y-axis displacement from a baseline of the bit-mapped image. It is shown that the recognition errors that result from the spatial or static processing are quite different from those resulting from temporal or dynamic processing. Furthermore, it is shown that these differences complement one another. As a result, a combination of these two sources of feature vector information provides a substantial reduction in an overall recognition error rate. Methods to combine probability scores from dynamic and the static character models are also disclosed.
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Translation of DE3822671A1.
Charles C. Tappert, Ching Y. Suen, Toru Wakahara, "The State of the Art in On-Line Handwriting Recognition", IEEE, vol. 12, No. 8, pp. 787-808, Aug. 1990.
Bellegarda Jerome R.
Nahamoo David
Nathan Krishna S.
Boudreau Leo
International Business Machines - Corporation
Tran Phuoc
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