Low cost multimodal biometric identleification system based on hand geometry, palm & fingerprint texture

被引：0

作者：

Ferrer, Miguel A. ^{[1
]}

Morales, Aythami ^{[1
]}

Travieso, Carlos M. ^{[1
]}

Alonso, Jesus B. ^{[1
]}

机构：

[1] Univ Las Palmas Gran Canaria, Ctr Tecnol Innovac Comunicac, Dept Senales & Comunicac, Campus Tafira S-N, Las Palmas Gran Canaria 35017, Spain

来源：

41ST ANNUAL IEEE INTERNATIONAL CARNAHAN CONFERENCE ON SECURITY TECHNOLOGY, PROCEEDINGS | 2007年

关键词：

biometrics; hand identification system; data fusion; classification and recognition;

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 a multimodal biometric identification system based on the combination of geometrical, palm and finger print features of the human hand. The right hand images are acquired by a commercial scanner with a 150 dpi resolution. The geometrical features are obtained from the binarized images and consist on 15 measures. A Support Vector Machines is used as verifier. The palm print and finger texture are obtained by means of different 2D Gabor phase encoding schemes. A robust coordinate system is defined to assure the image alignment. A Hamming distance and threshold are used for verifying the identity. A feature, score and decision level fusion results have shown the improvement of the combined scheme.

引用

页码：52 / +

页数：3

共 36 条

[1]

[Anonymous], 1999, REPOSIT TU DORTMUND, DOI DOI 10.17877/DE290R-5098

[2]

[Anonymous], 2004, 12 EUR SIGN PROC C E

[3] HIGH CONFIDENCE VISUAL RECOGNITION OF PERSONS BY A TEST OF STATISTICAL INDEPENDENCE [J].