Analysis of Sparse Representation and PCA Fusion Methods for Iris and Palmprint Biometric Features

被引：0
|
作者：
Nair, S. Anu H. [1 ]
Aruna, P. [1 ]
Sakthivel, K. [1 ]
机构：
[1] Annamalai Univ, Dept CSE, Chidambaram, India
来源：
2014 INTERNATIONAL CONFERENCE ON COMMUNICATIONS AND SIGNAL PROCESSING (ICCSP) | 2014年
关键词：
Multimodal biometrics; feature fusion; sparse representation; PCA fusion;
D O I：
暂无
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
Multimodal Biometric System using multiple sources of information is proposed. In this paper multimodal biometric images such as palmprint, and iris are extracted individually and fused together using sparse fusion mechanism and PCA fusion mechanism. The images are pre-processed for feature extraction. CASIA database is chosen for the biometric images. All the images are 8 bit gray-level JPEG image. In this process QABF, VIF, MI metrics are applied to the fused template to record the performance variation of fusion mechanism.
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页数：5
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