Character recognition method and system

Image analysis – Histogram processing – For setting a threshold

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382 34, 382 36, 382 37, 382 38, G06K 962

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050349910

ABSTRACT:
Character recognition method and system in which a character indicated in a printed, stamped, carved or other form is two-dimensionally imaged and stored as image data and the stored image data is subjected to an image processing to recognize the character. The recognition of the character is performed in such a manner that each time the comparison of plural kinds of feature vectors extracted from the character to be recognized and a dictionary vector of each candidate character in a group of candidate characters preliminarily prepared is made for one of the plural kinds of feature vectors, a candidate character having its dictionary vector away from the extracted feature vector by a distance not smaller than a predetermined value is excluded from the candidate character group. The dictionary vector for each candidate character is defined as an average vector for a variety of fonts. A difference between the dictionary vector and the feature vector extracted from the character to be recognized is estimated by virtue of a deviation vector for the variety of fonts to produce an estimated value. The exclusion from the candidate character group is judged on the basis of the estimated values each of which is cumulatively produced each time the estimation for the difference is made.

REFERENCES:
patent: 4718103 (1988-01-01), Shojima et al.
patent: 4905295 (1990-02-01), Sato
D. Paul et al., "Vista", IEEE Transaction on Pattern Analysis and Machine Intelligence, vol. 10, May, 1988, pp. 399-407.

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