Arabic sign language recognition

被引：0
|
作者：
Mohandes, M [1 ]
机构：
[1] King Fahd Univ Petr & Minerals, Dept Elect Engn, Dhahran 31261, Saudi Arabia
来源：
PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON IMAGING SCIENCE, SYSTEMS AND TECHNOLOGY, VOLS I AND II | 2001年
关键词：
Arabic sign language; Support Vector Machines; neural networks; and moment invariants;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
This paper proposes an automatic recognition of the Arabic sign language letters as a step towards recognizing the entire sign language. A segmented printed image of each letter is utilized. For this purpose the moment invariants were used as features for representation of the letters. For recognition, Support Vector Machine, one of the latest neural networks algorithm for pattern recognition was used. The training and testing data were generated by skewing, enlarging, or shifting the original images. The obtained results indicate the viability of the extracted features and the recognition algorithm.
引用
收藏
页码：753 / 759
页数：7
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