Adaptive classifier for compound characters and other compound p

Image analysis – Learning systems – Neural networks

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382158, 382224, G06K 966

Patent

active

059464100

ABSTRACT:
A statistical classifier utilizes combined output values to determine posterior probabilities for certain output classes. In the field of handwriting recognition, compound characters are factored into classes of base letter forms and diacritical marks. A separate output activation value is produced for each base letter form and each diacritical mark. Pairs of output values, comprised of one value for a base letter form and one value for a diacritical mark, are combined to produce a posterior probability for every possible compound character, without requiring a network output for each possible class.

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Ohtomo et al. "Two-Stage Recognition Method of Hand-Written Chinese Characters Using an Integrated Neural Network Model." Denshi Joohoo Tsuushin Gakkai Ronbunshi, D-II, vol. J74-D-II, No. 2, pp. 158-165 (with English translation), Feb. 1991.
Kuo et al. "A Radical-Partitioned coded Block Adaptive Neural Network Structure for Large-Volume Chinese Characters Recognition." Neural Networks 1992, IJCNN, Jun. 1992.
Kuo et al. "A Radical-Partitioned Neural Network System Using a Modified Sigmoid Function and a Weight-Dotted Radical Selector for Large-Volume Chinese Character Recognition VLSI." IEEE Int. Symp. Circuits and Systems, Jun. 1994.

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