Gaussian directional pattern for dorsal hand vein recognition
| Autor: | C.-B. Hsu, S.-J. Chuang, J.-C. Lee, Ping-Yu Kuei |
|---|---|
| Rok vydání: | 2014 |
| Předmět: |
Biometrics
ComputingMethodologies_SIMULATIONANDMODELING Computer science business.industry Gaussian Word error rate Hamming distance Pattern recognition Gaussian filter symbols.namesake cardiovascular system Media Technology symbols Dorsal hand Binary code Computer Vision and Pattern Recognition Artificial intelligence business Coding (social sciences) |
| Zdroj: | The Imaging Science Journal. 63:54-62 |
| ISSN: | 1743-131X 1368-2199 |
| DOI: | 10.1179/1743131x14y.0000000070 |
| Popis: | With the increasing needs in security systems, hand vein recognition is reliable as one of the important solutions for biometrics-based identification systems. This work presents an effective approach for dorsal hand vein recognition by analysing vein patterns. The methodology involves extraction of dorsal hand vein features based on Gaussian filter. In order to obtain effective pattern of dorsal hand vein vascular, we propose an innovative and robust Gaussian directional filter method to extract the dorsal hand vein patterns and to encode the vein features in binary code. A new coding scheme, namely Gaussian directional binary code, is then proposed for dorsal hand vein recognition. To evaluate the efficacy of the proposed approach, the normalised Hamming distance used in recognition is adopted. A total of 5120 dorsal hand vein images were collected from 256 persons to verify the validity of the proposed dorsal hand vein recognition approach. High accuracies (>99%) and low equal error rate (0·95%... |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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