Optimized Liveness Detection for Fast and Accurate Fingerprint Anti-Spoofing With Optical Coherence Tomography
Optical coherence tomography (OCT) offers high-resolution imaging of internal finger structures, making it attractive for fingerprint recognition. Anti-spoofing research in OCT includes both static and liveness anti-spoofing. Liveness anti-spoofing is commonly detected by additional detection equipm...
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| Format: | Article |
| Language: | English |
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IEEE
2024-01-01
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| Series: | IEEE Photonics Journal |
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| Online Access: | https://ieeexplore.ieee.org/document/10750282/ |
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| author | Yilong Zhang Heyou Yu Haohao Sun Yongbo Yao Haixia Wang Jian Liu Yuanjie Dang Ronghua Liang Peng Chen |
| author_facet | Yilong Zhang Heyou Yu Haohao Sun Yongbo Yao Haixia Wang Jian Liu Yuanjie Dang Ronghua Liang Peng Chen |
| author_sort | Yilong Zhang |
| collection | DOAJ |
| description | Optical coherence tomography (OCT) offers high-resolution imaging of internal finger structures, making it attractive for fingerprint recognition. Anti-spoofing research in OCT includes both static and liveness anti-spoofing. Liveness anti-spoofing is commonly detected by additional detection equipment or by extracting the liveness information from the OCT data. However, previous methods suffer from long data acquisition and computation times as well as low recognition accuracy. To address these problems, this paper proposes a fast liveness anti-spoofing method. The method requires no additional detection equipment, is fast in data acquisition and calculation, and has high computational accuracy. This study not only explores the method's effectiveness but also performs parameter analysis and optimization on multiple scales. In addition, this paper presents a comprehensive mathematical model that enables various types of OCT devices to calculate the optimal anti-counterfeiting parameters under different conditions. The experimental results show that this method can substantially improve the accuracy and real-time performance of anti-spoofing, and applies to various types of OCT systems, has a promising application in fingerprint identification and other medical diagnostic fields. |
| format | Article |
| id | doaj-art-634bd6f22bbb4707a20105e27c0a2796 |
| institution | OA Journals |
| issn | 1943-0655 |
| language | English |
| publishDate | 2024-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Photonics Journal |
| spelling | doaj-art-634bd6f22bbb4707a20105e27c0a27962025-08-20T01:49:11ZengIEEEIEEE Photonics Journal1943-06552024-01-011661910.1109/JPHOT.2024.349582910750282Optimized Liveness Detection for Fast and Accurate Fingerprint Anti-Spoofing With Optical Coherence TomographyYilong Zhang0https://orcid.org/0000-0002-1510-5097Heyou Yu1https://orcid.org/0009-0006-6770-7897Haohao Sun2https://orcid.org/0000-0002-6985-8596Yongbo Yao3https://orcid.org/0009-0003-2076-2432Haixia Wang4https://orcid.org/0000-0002-2378-2725Jian Liu5https://orcid.org/0009-0005-8352-9085Yuanjie Dang6https://orcid.org/0000-0002-8302-1338Ronghua Liang7https://orcid.org/0000-0003-2077-9608Peng Chen8https://orcid.org/0000-0001-6122-0574College of Computer Science and Technology, Zhejiang University of Technology, Hangzhou, ChinaCollege of Computer Science and Technology, Zhejiang University of Technology, Hangzhou, ChinaCollege of Computer Science and Technology, Zhejiang University of Technology, Hangzhou, ChinaCollege of Computer Science and Technology, Zhejiang University of Technology, Hangzhou, ChinaCollege of Computer Science and Technology, Zhejiang University of Technology, Hangzhou, ChinaCollege of Computer Science and Technology, Zhejiang University of Technology, Hangzhou, ChinaCollege of Computer Science and Technology, Zhejiang University of Technology, Hangzhou, ChinaCollege of Computer Science and Technology, Zhejiang University of Technology, Hangzhou, ChinaCollege of Computer Science and Technology, Zhejiang University of Technology, Hangzhou, ChinaOptical coherence tomography (OCT) offers high-resolution imaging of internal finger structures, making it attractive for fingerprint recognition. Anti-spoofing research in OCT includes both static and liveness anti-spoofing. Liveness anti-spoofing is commonly detected by additional detection equipment or by extracting the liveness information from the OCT data. However, previous methods suffer from long data acquisition and computation times as well as low recognition accuracy. To address these problems, this paper proposes a fast liveness anti-spoofing method. The method requires no additional detection equipment, is fast in data acquisition and calculation, and has high computational accuracy. This study not only explores the method's effectiveness but also performs parameter analysis and optimization on multiple scales. In addition, this paper presents a comprehensive mathematical model that enables various types of OCT devices to calculate the optimal anti-counterfeiting parameters under different conditions. The experimental results show that this method can substantially improve the accuracy and real-time performance of anti-spoofing, and applies to various types of OCT systems, has a promising application in fingerprint identification and other medical diagnostic fields.https://ieeexplore.ieee.org/document/10750282/Optical coherence tomographyliveness anti-spoofingmathematical modelfast liveness detection |
| spellingShingle | Yilong Zhang Heyou Yu Haohao Sun Yongbo Yao Haixia Wang Jian Liu Yuanjie Dang Ronghua Liang Peng Chen Optimized Liveness Detection for Fast and Accurate Fingerprint Anti-Spoofing With Optical Coherence Tomography IEEE Photonics Journal Optical coherence tomography liveness anti-spoofing mathematical model fast liveness detection |
| title | Optimized Liveness Detection for Fast and Accurate Fingerprint Anti-Spoofing With Optical Coherence Tomography |
| title_full | Optimized Liveness Detection for Fast and Accurate Fingerprint Anti-Spoofing With Optical Coherence Tomography |
| title_fullStr | Optimized Liveness Detection for Fast and Accurate Fingerprint Anti-Spoofing With Optical Coherence Tomography |
| title_full_unstemmed | Optimized Liveness Detection for Fast and Accurate Fingerprint Anti-Spoofing With Optical Coherence Tomography |
| title_short | Optimized Liveness Detection for Fast and Accurate Fingerprint Anti-Spoofing With Optical Coherence Tomography |
| title_sort | optimized liveness detection for fast and accurate fingerprint anti spoofing with optical coherence tomography |
| topic | Optical coherence tomography liveness anti-spoofing mathematical model fast liveness detection |
| url | https://ieeexplore.ieee.org/document/10750282/ |
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