Palm-Vein Verification Using Images From the Visible Spectrum
In this paper, we investigate into utilization of images from the visible light (RGB) spectrum for identity verification based on the palm-veins. This is differentiated from the commonly utilized Near-infrared (NIR) images for palm-vein feature extraction. Our goal is to explore into the often omitt...
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| Format: | Article |
| Language: | English |
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IEEE
2021-01-01
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| Series: | IEEE Access |
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| Online Access: | https://ieeexplore.ieee.org/document/9455421/ |
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| author | Sungchul Cho Beom-Seok Oh Donghyun Kim Kar-Ann Toh |
| author_facet | Sungchul Cho Beom-Seok Oh Donghyun Kim Kar-Ann Toh |
| author_sort | Sungchul Cho |
| collection | DOAJ |
| description | In this paper, we investigate into utilization of images from the visible light (RGB) spectrum for identity verification based on the palm-veins. This is differentiated from the commonly utilized Near-infrared (NIR) images for palm-vein feature extraction. Our goal is to explore into the often omitted palm-vein information from the RGB palm images considering the vast deployment of the RGB cameras. Essentially, the vein line features are extracted at various scales based on an efficient difference image projection. The extracted features from the gallery and the probe images are matched based on a fast Hamming distance implementation. The resultant similarity scores are finally fused at score level for accuracy enhancement. Experiments are conducted on two public multi-spectral palm databases. The results show encouraging matching accuracy and computational efficiency of the proposed method which extracts the palm-vein utilizing only the visible spectrum. The outcome of this study can be deployed as a standalone biometric or as part of a multibiometric system for secure authentication. |
| format | Article |
| id | doaj-art-da8e9b3bc57a4ece856add7706a334c4 |
| institution | Kabale University |
| issn | 2169-3536 |
| language | English |
| publishDate | 2021-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj-art-da8e9b3bc57a4ece856add7706a334c42024-12-11T00:02:20ZengIEEEIEEE Access2169-35362021-01-019869148692710.1109/ACCESS.2021.30894849455421Palm-Vein Verification Using Images From the Visible SpectrumSungchul Cho0https://orcid.org/0000-0001-6344-6454Beom-Seok Oh1https://orcid.org/0000-0002-7521-7197Donghyun Kim2https://orcid.org/0000-0003-1960-0527Kar-Ann Toh3https://orcid.org/0000-0002-3736-003XSchool of Electrical and Electronic Engineering, Yonsei University, Seoul, South KoreaSchool of Computer Science, Gyeongsang National University, Jinju, South KoreaSchool of Electrical and Electronic Engineering, Yonsei University, Seoul, South KoreaSchool of Electrical and Electronic Engineering, Yonsei University, Seoul, South KoreaIn this paper, we investigate into utilization of images from the visible light (RGB) spectrum for identity verification based on the palm-veins. This is differentiated from the commonly utilized Near-infrared (NIR) images for palm-vein feature extraction. Our goal is to explore into the often omitted palm-vein information from the RGB palm images considering the vast deployment of the RGB cameras. Essentially, the vein line features are extracted at various scales based on an efficient difference image projection. The extracted features from the gallery and the probe images are matched based on a fast Hamming distance implementation. The resultant similarity scores are finally fused at score level for accuracy enhancement. Experiments are conducted on two public multi-spectral palm databases. The results show encouraging matching accuracy and computational efficiency of the proposed method which extracts the palm-vein utilizing only the visible spectrum. The outcome of this study can be deployed as a standalone biometric or as part of a multibiometric system for secure authentication.https://ieeexplore.ieee.org/document/9455421/Biometricspalm-veinbilateral filtershifting matrix |
| spellingShingle | Sungchul Cho Beom-Seok Oh Donghyun Kim Kar-Ann Toh Palm-Vein Verification Using Images From the Visible Spectrum IEEE Access Biometrics palm-vein bilateral filter shifting matrix |
| title | Palm-Vein Verification Using Images From the Visible Spectrum |
| title_full | Palm-Vein Verification Using Images From the Visible Spectrum |
| title_fullStr | Palm-Vein Verification Using Images From the Visible Spectrum |
| title_full_unstemmed | Palm-Vein Verification Using Images From the Visible Spectrum |
| title_short | Palm-Vein Verification Using Images From the Visible Spectrum |
| title_sort | palm vein verification using images from the visible spectrum |
| topic | Biometrics palm-vein bilateral filter shifting matrix |
| url | https://ieeexplore.ieee.org/document/9455421/ |
| work_keys_str_mv | AT sungchulcho palmveinverificationusingimagesfromthevisiblespectrum AT beomseokoh palmveinverificationusingimagesfromthevisiblespectrum AT donghyunkim palmveinverificationusingimagesfromthevisiblespectrum AT karanntoh palmveinverificationusingimagesfromthevisiblespectrum |