Recognition of handwritten Hindu numerals using structural descriptors

被引：7

作者：

Elnagar, A ^{[1
]}

Harous, S ^{[1
]}

机构：

[1] Univ Sharjah, Dept Comp Sci, Sharjah, U Arab Emirates

来源：

JOURNAL OF EXPERIMENTAL & THEORETICAL ARTIFICIAL INTELLIGENCE | 2003年 / 15卷 / 03期

关键词：

Hindu numerals; handwritten recognition; structural descriptors; term rewriting;

D O I：

10.1080/0952813021000047170

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

A method for recognizing handwritten Hindi numerals is proposed based on the structural descriptors of a numeral's shape. The method consists of three major steps. The first one is preprocessing, where a handwritten numeral is scanned, normalized and then thinned. Next, a robust algorithm is used to segment the scanned image into stroke(s), based on feature points, and to identify cavity features. The output of this algorithm is a syntactic representation (that is one or more syntactic terms). Finally, this syntacytic representation is matched against the set of prototype syntactic representations of handwritten numerals for a possible match. Early experimental results are not only encouraging but also proving the tolerance of the proposed system to recognize a high variability of Hindi numerals' shapes. The system attained a successful recognition rate of 96%.

引用

页码：299 / 314

页数：16

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