Recognition of characters in cursive script

Image analysis – Histogram processing – For setting a threshold

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382 39, 382 14, 382 20, G06K 934

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active

053352890

ABSTRACT:
A system and method for recognizing characters in cursive script is provided in which the script is scanned to detect word boundaries and words are then segmented into characters. This is accomplished by segmenting the script to form an initial portion, the segmentation being performed with reference to its position relative to a word boundary. This initial portion is then compared with a set of reference portions. Subsequent portions of the script are taken in sequence and compared with reference portions until a character is identified with an uncertainty less than a predetermined threshold value. A new initial portion is then segmented, with the new initial portion chosen on the basis of the average width of the character identified and the comparison process repeated to identify the next character.

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T. Sheikh & Guindi, "Computer Recognition of Arabic Cursive Scripts" Pattern Recognition, vol. 21, No. 4, 1988, pp. 293-302.
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Bozinovic et al. "Off-Line Cursive Script Word Recognition" IEEE Transactions on Pattern Analysis and Machine Intelligence, VII #1 Jan. 1989, pp. 68-83.

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