Finger Vein Recognition Based on a Personalized Best Bit Map
Finger vein patterns have recently been recognized as an effective biometric identifier. In this paper, we propose a finger vein recognition method based on a personalized best bit map (PBBM). Our method is rooted in a local binary pattern based method and then inclined to use the best bits only for...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2012-02-01
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| Series: | Sensors |
| Subjects: | |
| Online Access: | http://www.mdpi.com/1424-8220/12/2/1738/ |
| _version_ | 1798003975270694912 |
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| author | Yilong Yin Xiaoming Xi Gongping Yang |
| author_facet | Yilong Yin Xiaoming Xi Gongping Yang |
| author_sort | Yilong Yin |
| collection | DOAJ |
| description | Finger vein patterns have recently been recognized as an effective biometric identifier. In this paper, we propose a finger vein recognition method based on a personalized best bit map (PBBM). Our method is rooted in a local binary pattern based method and then inclined to use the best bits only for matching. We first present the concept of PBBM and the generating algorithm. Then we propose the finger vein recognition framework, which consists of preprocessing, feature extraction, and matching. Finally, we design extensive experiments to evaluate the effectiveness of our proposal. Experimental results show that PBBM achieves not only better performance, but also high robustness and reliability. In addition, PBBM can be used as a general framework for binary pattern based recognition. |
| first_indexed | 2024-04-11T12:16:08Z |
| format | Article |
| id | doaj.art-6b397378e90246f9b7107afc943e9ae3 |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-04-11T12:16:08Z |
| publishDate | 2012-02-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-6b397378e90246f9b7107afc943e9ae32022-12-22T04:24:19ZengMDPI AGSensors1424-82202012-02-011221738175710.3390/s120201738Finger Vein Recognition Based on a Personalized Best Bit MapYilong YinXiaoming XiGongping YangFinger vein patterns have recently been recognized as an effective biometric identifier. In this paper, we propose a finger vein recognition method based on a personalized best bit map (PBBM). Our method is rooted in a local binary pattern based method and then inclined to use the best bits only for matching. We first present the concept of PBBM and the generating algorithm. Then we propose the finger vein recognition framework, which consists of preprocessing, feature extraction, and matching. Finally, we design extensive experiments to evaluate the effectiveness of our proposal. Experimental results show that PBBM achieves not only better performance, but also high robustness and reliability. In addition, PBBM can be used as a general framework for binary pattern based recognition.http://www.mdpi.com/1424-8220/12/2/1738/finger vein recognitionpersonalized best bit maplocal binary patternHamming distancegeneral framework |
| spellingShingle | Yilong Yin Xiaoming Xi Gongping Yang Finger Vein Recognition Based on a Personalized Best Bit Map Sensors finger vein recognition personalized best bit map local binary pattern Hamming distance general framework |
| title | Finger Vein Recognition Based on a Personalized Best Bit Map |
| title_full | Finger Vein Recognition Based on a Personalized Best Bit Map |
| title_fullStr | Finger Vein Recognition Based on a Personalized Best Bit Map |
| title_full_unstemmed | Finger Vein Recognition Based on a Personalized Best Bit Map |
| title_short | Finger Vein Recognition Based on a Personalized Best Bit Map |
| title_sort | finger vein recognition based on a personalized best bit map |
| topic | finger vein recognition personalized best bit map local binary pattern Hamming distance general framework |
| url | http://www.mdpi.com/1424-8220/12/2/1738/ |
| work_keys_str_mv | AT yilongyin fingerveinrecognitionbasedonapersonalizedbestbitmap AT xiaomingxi fingerveinrecognitionbasedonapersonalizedbestbitmap AT gongpingyang fingerveinrecognitionbasedonapersonalizedbestbitmap |