Off-line arabic signature recognition and verification

被引：62
|
作者：
Ismail, MA [1 ]
Gad, S [1 ]
机构：
[1] Univ Alexandria, Fac Engn, Dept Comp Sci, Alexandria 21544, Egypt
来源：
PATTERN RECOGNITION | 2000年 / 33卷 / 10期
关键词：
off-line recognition; signature verification; feature extraction; fuzzy similarity; local centers of gravity; critical points;
D O I：
10.1016/S0031-3203(99)00047-3
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Off-line signature recognition and verification is an important part of many business processes. It can be used in many applications such as cheques, certificates, contracts and historical documents. In this paper, a system of two separate phases for signature recognition and verification is developed. A recognition technique is developed based on a multistage classifier and a combination of global and local features. New algorithms for signature verification based on fuzzy concepts are also described and tested. It is concluded from the experimental results that each of the proposed techniques performs well on different counts. (C) 2000 Pattern Recognition Society. Published by Elsevier Science Ltd. All rights reserved.
引用
收藏
页码：1727 / 1740
页数：14
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