Character recognition

Image analysis – Pattern recognition – Feature extraction

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382187, G06K 946

Patent

active

057579628

ABSTRACT:
A method and apparatus for recognizing a script written character wherein the character is entered using character entering means and digitised by appropriate means. The digitised character is then stored in, for example, a memory. Codes representing topological and vector features of the character are extracted from the character, then the topological and vector features of the character are compared with topological and vector features of a plurality of reference characters defining a set of reference characters stored in a memory. Each of the reference characters included in the set corresponds to a specific script written character. A logic process is then performed to determine which reference character of the set of reference characters has topological and vector features most closely corresponding to the topological and vector features of the digitized character thereby identifying the script written character. In extracting the topological and vector features of the character to be recognized, the relative weighting of the topological features and the vector features can be varied for different types of script to enable still more accurate recognition.

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Intternational Journal of Mini and Microcomputers, vol. 15, No. 1, 1993, `Automatic Recognition of Handwritten Arabic Characters` Anaheim, California. US, pp. 23-30, XP372526, El-Gwad, et al.
Pattern Recognition, vol. 8, No. 2, Apr. 1976, `Approaches to Chinese Character Recognition` Elmsford, NY, pp. 87-98, W. Stallings.
Proceedings of the IEEE, vol. 68, No. 4, Apr. 1980, `Automatic Recognition of Handprinted Characters --the State of the Art` New York US, pp. 469-487, C.Y. Suen.

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