Abstract | ||
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Distributed source coding (DSC) applications range from sensor networks to video coding. In this paper, DSC principles are integrated in a biometric system to provide secure template storage. The proposed biometric recognition system uses the palmprint as a biometric trait together with a state-of-the-art feature extraction technique that produces binary templates. The hand images are captured in an unconstrained way, i.e., the user can place his hand freely within the camera's field of view and the background is not required to be constant. The proposed system was tested in indoor environments and promising recognition accuracy results were achieved, when performing identification on a small database, acquired using the proposed system. |
Year | Venue | Keywords |
---|---|---|
2012 | European Signal Processing Conference | distributed source coding,secure biometrics,LDPC,unconstrained palmprint,palmprint recognition |
Field | DocType | ISSN |
Field of view,Computer vision,Source code,Computer science,Coding (social sciences),Feature extraction,Artificial intelligence,Distributed source coding,Biometrics,Wireless sensor network,Binary number | Conference | 2076-1465 |
Citations | PageRank | References |
1 | 0.35 | 11 |
Authors | ||
4 |
Name | Order | Citations | PageRank |
---|---|---|---|
Mauricio Ramalho | 1 | 12 | 1.30 |
Sanchit Singh | 2 | 89 | 4.16 |
Paulo Lobato Correia | 3 | 281 | 31.59 |
Luis Ducla Soares | 4 | 226 | 27.77 |