ONLINE RECOGNITION OF HANDWRITTEN ARABIC CHARACTERS

被引：49

作者：

ALEMAMI, S

USHER, M

机构：

[1] Department of Cybernetics, University of Reading

来源：

IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE | 1990年 / 12卷 / 07期

关键词：

Arabic characters; Cursive script; Handwritten characters; Segmentation; Structure analysis; Trees;

D O I：

10.1109/34.56214

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Arabic characters are always in cursive script. Handwritten words were entered into an IBM PC via a graphics tablet and a segmentation process applied to the points; the length and the slope of each segment was then found, and the slope categorized to one of four directions. In the learning process, specifications of the strokes of each character are fed to the computer. In the recognition process, the parameters of each stroke are found and special rules applied to select the collection of strokes which best matches the features of one of the stored characters. The results are promising, and suggestions for improvements leading to 100% recognition are proposed. © 1990 IEEE

引用

页码：704 / 710

页数：7

共 7 条

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[2] AMIN A, 1980, 5TH P INT C PATT REC, P729
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[4] Blair CR., 1960, INF CONTROL, V3, P60
[5] Kim J., 1984, Seventh International Conference on Pattern Recognition (Cat. No. 84CH2046-1), P917
[6] THINNING AND STROKE SEGMENTATION FOR HANDWRITTEN CHINESE CHARACTER-RECOGNITION
OGAWA, H
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[7] CONTEXTUAL WORD RECOGNITION USING BINARY DIGRAMS
RISEMAN, EM
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