Signature verification using shape descriptors and multiple neural networks

被引：0

作者：

Dehghan, M ^{[1
]}

Faez, K ^{[1
]}

Fathi, M ^{[1
]}

机构：

[1] AmirKabir Univ Technol, Dept Elect Engn, Tehran, Iran

来源：

IEEE TENCON'97 - IEEE REGIONAL 10 ANNUAL CONFERENCE, PROCEEDINGS, VOLS 1 AND 2: SPEECH AND IMAGE TECHNOLOGIES FOR COMPUTING AND TELECOMMUNICATIONS | 1997年

关键词：

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 presents an off-line signature verification system. The verification is based on signature shape descriptors such as the skeleton, upper and lower envelopes, and high pressure region of signatures. Multiple multilayer perceptron neural network modules cooperating in taking a verification decision via a fuzzy integral voter are used. This method is capable of verifying simple and skilled forgeries with a good performance.

引用

页码：415 / 418

页数：4

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