Abstract
This paper addresses the problem of palm-vein recognition based on the RGB color images. Comparing with existing palm-vein methods based on the infrared (IR) or near-infrared (NIR) images, this is the first study of palm-vein recognition utilizing the RGB images. The proposed system consists of three processing steps namely, image enhancement, vein region detection, and feature matching. Essentially, the image enhancement step emphasizes the contrast of the palm-veins for visibility. The lines of the palm-veins are subsequently detected using a simplified Gabor filter which is followed by a binarization for noise removal. Finally, the extracted binary templates are matched using the hamming distance. The system shows an equal error rate of 0.87% on the publicly available PolyU database which consists of four channels: Red, Green, Blue and NIR. This result establishes the feasibility of using the RGB images for palm-vein recognition.
| Original language | English |
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| Title of host publication | Proceedings of 2018 3rd International Conference on Biomedical Signal and Image Processing, ICBIP 2018 |
| Publisher | Association for Computing Machinery |
| Pages | 47-52 |
| Number of pages | 6 |
| ISBN (Electronic) | 9781450364362 |
| DOIs | |
| Publication status | Published - 2018 Aug 22 |
| Event | 3rd International Conference on Biomedical Signal and Image Processing, ICBIP 2018 - Seoul, Korea, Republic of Duration: 2018 Aug 22 → 2018 Aug 24 |
Publication series
| Name | ACM International Conference Proceeding Series |
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Other
| Other | 3rd International Conference on Biomedical Signal and Image Processing, ICBIP 2018 |
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| Country/Territory | Korea, Republic of |
| City | Seoul |
| Period | 18/8/22 → 18/8/24 |
Bibliographical note
Publisher Copyright:© 2018 Association for Computing Machinery.
All Science Journal Classification (ASJC) codes
- Software
- Human-Computer Interaction
- Computer Vision and Pattern Recognition
- Computer Networks and Communications