Online Detection of Spoof Fingers for Smartphone-based Applications

被引：3

作者：

Li, Dongju ^{[1
]}

Kunieda, Hiroaki ^{[1
]}

Kumpituck, Supawan ^{[1
]}

Isshiki, Tsuyoshi ^{[1
]}

机构：

[1] Tokyo Inst Technol, Dept Commun & Comp Engn, Tokyo 152, Japan

来源：

2015 IEEE 17TH INTERNATIONAL CONFERENCE ON HIGH PERFORMANCE COMPUTING AND COMMUNICATIONS, 2015 IEEE 7TH INTERNATIONAL SYMPOSIUM ON CYBERSPACE SAFETY AND SECURITY, AND 2015 IEEE 12TH INTERNATIONAL CONFERENCE ON EMBEDDED SOFTWARE AND SYSTEMS (ICESS) | 2015年

关键词：

spoof fingerprint; wavelet transform; supporting vector machine classifier; smart phones;

D O I：

10.1109/HPCC-CSS-ICESS.2015.322

中图分类号：

TP31 [计算机软件];

学科分类号：

081202 ; 0835 ;

摘要：

The on-line spoof fingers detection algorithm presented here adopting ridge tracing features as input to Support Vector Machine (SVM) classifier. The wavelet transforms the coefficients of ridge data along ridges into sequences. The derived information relates to geometrical distribution of pores on ridges. As a result, it is more effective to distinguish pore information between spoof and live fingers. The features of pore information on several ridges are inputted to typical SVM system to evaluate the proposed system. The results with benchmark database show the improvement on spoof finger detection.

引用

页码：1292 / 1297

页数：6

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