Character recognition with variable subdivisions of a character

Image analysis – Histogram processing – For setting a threshold

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382 9, 382 18, G06K 948

Patent

active

049033123

ABSTRACT:
An input, unknown character is optionally read to form a binary character image, and a plurality of directionality codes are assigned to pixels defining the contour of the character image selectively to define a code-assigned character image, which is then subdivided into a plurality of sub-regions in the form of mesh such that each sub-region includes a substantially equal number of assigned codes. Then, a histogram of the codes is defined for each of the sub-regions to form a collection of histograms for the input character. The input character is compared with each of registered, known characters, each having a collection of similar histograms, and the one having a greatest similarity is selected to identify the input character. The similarity is determined by calculating a distance between the histograms of the input character and the histograms of the each of the registered characters. Preferably, the binary character image is subjected to line-broadening processing prior to the step of assigning the codes.

REFERENCES:
patent: 4162482 (1979-07-01), Su
patent: 4163214 (1979-07-01), Komori et al.
patent: 4229768 (1980-10-01), Kurahayashi et al.
patent: 4254400 (1981-03-01), Yoda et al.
patent: 4295120 (1981-10-01), Yoshida et al.
patent: 4300122 (1981-11-01), McMahon
patent: 4688088 (1987-08-01), Hamazaki et al.

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