SIGNATURE AND IRIS AUTHENTICATION BASED ON DERIVED KINEMATIC VALUES

被引：2

作者：

Radhika, K. R. ^{[1
]}

Sheela, S. V. ^{[1
]}

Venkatesha, M. K. ^{[2
]}

Sekhar, G. N.

机构：

[1] BMS Coll Engn, Dept Informat Sci & Engn, Bangalore, Karnataka, India

[2] RNS Inst Technol, Bangalore, Karnataka, India

来源：

INTERNATIONAL JOURNAL OF PATTERN RECOGNITION AND ARTIFICIAL INTELLIGENCE | 2010年 / 24卷 / 08期

关键词：

Signature; iris; authentication; continuous dynamic programming; acceleration; RECOGNITION; SYSTEM;

D O I：

10.1142/S021800141000841X

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Authentication systems which are covenant with a measurable behavioral and physiological traits are essential for an online system. In this paper, two types of biometric sample authentication from different databases on a common algorithm using Continuous Dynamic Programming [CDP] are discussed. Using a common algorithm, a method for user-dependent threshold decisions can be achieved for both biometrics in a uniform fashion. The integration of static iris information and dynamic signature information are done at decision level. Inferences are drawn using voting techniques. The derived kinematic feature, acceleration, is used in this paper.

引用

页码：1237 / 1260

页数：24

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