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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Jialiang Peng Ning Wang El-Latif, A.A.A. Qiong Li Xiamu Niu |
| Copyright Year | 2012 |
| Abstract | In this paper, a novel method to verify the infrared finger-vein patterns is proposed for biometric purposes. Firstly, we select parameters for Gabor filter with eight orientations to exploit finger-vein network, then we extract vein patterns by the fusion of two distinct orientation results. Secondly, we utilize SIFT features to offset the effect of images rotation and shift impact during finger-vein verification. Finally, the number of matching SIFT features between the registered and test finger vein patterns is calculated as the similarity measurement to verify the personal identification. The experiment results show that EER is low to 0.46%, which demonstrates our proposed approach is valid and effective for finger-vein verification. |
| Starting Page | 45 |
| Ending Page | 48 |
| File Size | 383901 |
| Page Count | 4 |
| File Format | |
| ISBN | 9781467317412 |
| DOI | 10.1109/IIH-MSP.2012.17 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2012-07-18 |
| Publisher Place | Greece |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Biometrics Gabor filter Veins Fingers Finger-vien Feature extraction SIFT feature matching Gabor filters Pattern matching Biomedical imaging |
| Content Type | Text |
| Resource Type | Article |
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