A study on the consistency of features for on-line signature verification

被引：0

作者：

Lei, HS ^{[1
]}

Govindaraju, V ^{[1
]}

机构：

[1] SUNY Buffalo, Ctr Unified Biometr & Sensors, CUBS, Amherst, NY 14260 USA

来源：

STRUCTURAL, SYNTACTIC, AND STATISTICAL PATTERN RECOGNITION, PROCEEDINGS | 2004年 / 3138卷

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：

A lot of different features have been proposed for on-line signature verification. By using these features, researchers implicitly believe they have high consistency as well as high discriminatory power. However, very little work has been done to measure the real consistency of these features. In this paper, we propose a model for consistency measure. Experiments were conducted to compare a comprehensive set of features commonly used for on-line signature verification.

引用

页码：444 / 451

页数：8

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