期刊
NEUROCOMPUTING
卷 74, 期 18, 页码 3946-3952出版社
ELSEVIER
DOI: 10.1016/j.neucom.2011.08.011
关键词
Biometrics; Pattern recognition; Matching score level fusion
资金
- Program for New Century Excellent Talents in University [NCET-08-0156, NCET-08-0155]
- NSFC [61071179, 60803090, 60902099, 61001037]
- Fundamental Research Funds for the Central Universities [HIT.NSRIF. 2009130]
In this paper, we define for the first time the crossing matching score of two biometrics traits and combine it with the conventional matching scores to perform personal authentication. The proposed method is very suitable for the bimodal biometrics systems with two similar biometrics traits such as the system with visible light and infrared face images and the system with palm images captured at two bands. The proposed method first runs for the first and biometrics traits, respectively. For each of these two biometrics traits, the proposed method calculates the matching scores between the testing sample and each training sample. The matching scores generated from the first and second traits are referred to as the first and second matching scores, respectively. Second, the proposed method calculates the crossing matching scores, i.e. the matching scores between the testing sample of the second biometrics trait and the training samples of the first biometrics trait. Finally, we use a weighted fusion scheme to combine the first, second and crossing matching scores for personal authentication. (C) 2011 Elsevier B.V. All rights reserved.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据