Abstract
Biometric cryptography is a technique using biometric features to encrypt data, which can improve the security of the encrypted data and overcome the shortcomings of the traditional cryptography. This paper proposes a novel biometric cryptosystem based on palmprint features. In this system, the palmprint features, called DoG code, are extracted using Gaussian derivative filters. Then the Reed-Solomon error correcting technique and the logical XOR operation are employed to encrypt and decrypt the data. Experimental results show that this system can obtain a high security with a low false rejection rate.
Original language | English |
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Title of host publication | 2008 19th International Conference on Pattern Recognition, ICPR 2008 |
Publication status | Published - 1 Dec 2008 |
Event | 2008 19th International Conference on Pattern Recognition, ICPR 2008 - Tampa, FL, United States Duration: 8 Dec 2008 → 11 Dec 2008 |
Conference
Conference | 2008 19th International Conference on Pattern Recognition, ICPR 2008 |
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Country/Territory | United States |
City | Tampa, FL |
Period | 8/12/08 → 11/12/08 |
ASJC Scopus subject areas
- Computer Vision and Pattern Recognition