Dorsal hand vein recognition based on 2D Gabor filters
| Autor: | J.-C. Lee, C.-B. Hsu, C.-H. Lee, K.-C. Chang, Ping-Yu Kuei |
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| Rok vydání: | 2013 |
| Předmět: |
Biometrics
ComputingMethodologies_SIMULATIONANDMODELING business.industry Computer science Hamming distance Input device Bit array Finger vein recognition Gabor filter Region of interest cardiovascular system Media Technology Computer vision Computer Vision and Pattern Recognition Artificial intelligence Eye vein verification business |
| Zdroj: | The Imaging Science Journal. 62:127-138 |
| ISSN: | 1743-131X 1368-2199 |
| DOI: | 10.1179/1743131x12y.0000000049 |
| Popis: | Hand vein patterns are among the biometric traits being investigated today for identification purposes, attracting interest from both the research community and industry. A reliable and robust personal verification approach using dorsal hand vein patterns is presented in this paper. This approach needs less computational and memory requirements and has a higher recognition accuracy than similar methods. In our work, a near-infrared charge-coupled device camera is adopted as an input device for capturing dorsal hand vein images, due to its advantages of the low-cost and non-contact imaging. In the proposed approach, two finger-peaks are automatically selected to define the region of interest in the dorsal hand vein images. In order to obtain effective pattern of dorsal hand vein vascular, we proposed an innovative and robust adaptive Gabor filter method to extract the dorsal hand vein patterns and encode the vein features in bit string representation. The bit string representation, called VeinCode,... |
| Databáze: | OpenAIRE |
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