Extracting binary strings from real-valued templates has been a fundamental issue in many biometric template protection systems. In this paper, we present an optimal bit allocation method (OBA). By means of it, a binary string at a pre-defined length with maximized overall detection rate is generated. Experiments with the binary strings and a Hamming distance classifier on FRGC and FERET databases show promising performance in terms of FAR and FRR.
|Publisher||IEEE Computer Society Press|
|Workshop||2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, CVPR 2008|
|Period||28/06/08 → 28/06/08|