Palm and hand vein-based fuzzy vault generation scheme for multibiometric cryptosystem
| Autor: | N. Lalithamani, M. Sabrigiriraj |
|---|---|
| Rok vydání: | 2014 |
| Předmět: |
Password
Biometrics Computer science business.industry Feature vector ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Pattern recognition Computer security computer.software_genre Image (mathematics) Face (geometry) Media Technology Key (cryptography) Cryptosystem Computer Vision and Pattern Recognition Artificial intelligence business computer Decoding methods |
| Zdroj: | The Imaging Science Journal. 63:111-118 |
| ISSN: | 1743-131X 1368-2199 |
| DOI: | 10.1179/1743131x14y.0000000090 |
| Popis: | Template security of biometric systems is a vital issue and needs critical focus. The importance lies in the fact that unlike passwords, stolen biometric templates cannot be revoked. Hence, the biometric templates cannot be stored in plain format and needs strong protection against any forgery. In this paper, we present a technique to generate face and palm vein-based fuzzy vault for multi-biometric cryptosystem. Here, initially the input images are pre-processed using various processes to make images fit for further processing. In our proposed method, the features are extracted from the processed hand and palm vein images by finding out unique common points. The chaff points are added to the already extracted points to obtain the combined feature vector. The secret key points which are generated based on the user key input (by using proposed method) are added to the combined feature vector to have the fuzzy vault. For decoding, the multi-modal biometric template from palm vein and hand vein image... |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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