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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Zhongwei Wang Ruzhen Dou Yu Leng Jianming Wang |
| Copyright Year | 2010 |
| Description | Author affiliation: China Automotive Technology & Research Center, Tianjin, China (Ruzhen Dou) || Department of Information and Communication, Engineering, Tianjin Polytechnic University, Tianjin, China (Zhongwei Wang) || Department of Information and Communication Engineering, Tianjin Polytechnic University, Tianjin, China (Jianming Wang) || Suzhou Entry-Exit, Inpection and Quarantine Bureau, Suzhou, China (Yu Leng) |
| Abstract | Traditional password based cryptographic system is facing many challenges with the development of computer and Internet in human society. By combining biometrics and cryptography, Biometric encryption has drawn great attention in the field of information security. In the paper, we propose a new framework of fingerprint based Biometric encryption. We adopt Gabor filter-bank to extract fingerprint features, which are length fixed and comprise both local and global information, and a binary key is bound with the filter-bank based fingerprint features by traditional cryptographic algorithm, such AES and DES ect. Finally, we evaluate our algorithm on FVC database and the experiment results show that the performance of the algorithm is satisfied. |
| File Size | 563479 |
| File Format | |
| ISBN | 9781424468928 |
| e-ISBN | 9781424468935 |
| DOI | 10.1109/ICSPS.2010.5555426 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2010-07-05 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | YCbCr Image matching Fingers Signal processing algorithms Filter-Bank Biometric Encryption Fingerprint recognition Encryption Gabor filters Fingperprint Feature |
| Content Type | Text |
| Resource Type | Article |
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