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| Biometric Recognition Based on Nose Pore Features |
| SONG Shang-Ling1, KAZUHIKO Ohnuma2, MEI Liang-Mo1, SUN Feng-Rong1 |
1.School of Information Science and Engineering, Shandong University, Jinan 250100
2.Department of Medical System Engineering, Faculty of Engineering, Chiba University, Chiba, Japan 263-8522 |
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Abstract Centerline of nose is extracted by Hessian matrix parameters to segment the matched region. Direction of gradient and eigenvector corresponding to the largest eigenvalue are combined to detect nose pore. The proposed method achieves an identification correct rate of 88.07% on a database of 103 persons. The experimental results show that nose pore feature can be used as one of the most efficient biometric features in recognition.
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Received: 25 December 2008
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2009, Vol. 22 
