Image recognition apparatus

Image analysis – Histogram processing – For setting a threshold

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382 15, G06K 962

Patent

active

053944844

ABSTRACT:
Character recognition apparatus capable of automatically modifying its recognition tree is disclosed. When a character is erroneously recognized, its image is used to select a leaf node of the character recognition tree which has a high probability of recognizing the character correctly. The tree is split at that node, creating one new leaf node which is assigned to the character formerly assigned to the split node, and a second new leaf node assigned to the erroneously recognized character. The split node is then assigned to test a pel address in a character image which has a high probability of discriminating between the two characters of its new leaf nodes.

REFERENCES:
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patent: 4752890 (1988-06-01), Natarajan
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R. G. Casey, et al. "Recursive Segmentation and Classification of Composite Character Patterns", 6th International Conf. on Pattern Recognition, Oct. 1982, pp. 1023-1026.
R. G. Casey et al., "Decision Tree Design Using a Probabilistic Model", IEEE Trans. on Information Theory, vol. IT-30, No. 1, Jan. 1984, pp. 93-99.
K. Y. Wong, et al., "Document Analysis System", IEEE 6th International Conf. on Pattern Recognition, Oct. 1982, pp. 496-500.
R. G. Casey et al., "Unsupervised Construction of Decision Networks for Pattern Classification", IEEE 7th International Conf. on Pattern Recognition, Aug. 1984, pp. 1256-1258.
T. Mano et al., "Automatic Font Selection for Character Recognition", IBM Technical Disclosure Bulletin, vol. 30, No. 3, Aug. 1987, pp. 1112-1114.

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