CHARACTER RECOGNIZING SYSTEM

Patent №

US 5,239,592

Granted

1993-08-24

Filed 1991

Owner

GLORY KOGYO KABUSHIKI KAISHA

Lab

AI components

3

ml · nlp · vision

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

07665230

A plurality of recognition candidates are obtained through continuing a segmentation to a numeral recognition realized by segments, and an optimum one is selected from among the candidates by means of connection information, thereby preventing continuous numerals from being recognized erroneously. A method of correctly recognizing the handwritten characters, especially numerals written in checks includes the steps of: performing a line drawing analysis is of the character set to be recognized in order to extract a characteristic of the arrangement of blocks, proposing a hypothesis about the monetary unit type, and finally verifying the above hypothesis to display the result of the character recognition. Further, this method can surely distinguish handwritten characters from a bar which is either printed for entry of characters or handwritten, and eliminate the bar from the object of character recognition to extract the characters alone. In detecting the bar, six formulas for under-bar, middle-bar, upper-bar, inclined bar, inclined under-bar and inclined upper-bar relative to the characters are used to determine certainty factor of a bar, and the bar having the highest linearity is extracted.

AI classification

Vision1.00
Natural language1.00
Machine learning0.58
Planning0.01
Evolutionary computation0.00
AI hardware0.00
Knowledge representation0.00
Speech0.00

Ownership

GLORY KOGYO KABUSHIKI KAISHA

assignment · 56290350

Assignors

KAMEYAMA, HIROFUMI, MIKI, SHOJI, TSUBOTA, HIROKI

On an employer assignment, the assignors are typically the inventors.

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