A performance evaluation of filter design and coding schemes for palmprint recognition
Palmprint recognition, as one of the most promising biometrics, has received considerable recent biometric research interest. Among various palmprint recognition techniques, coding based methods have been very successful since of its simplicity, high precision, small size of feature and rapidness for both feature extraction and matching. Several filters, such as Gabor and Gaussian, and coding schemes, such as competitive and ordinal measure, have been proposed for palmprint verification and identification. In this paper, we evaluate three filters, Gabor, Gaussian, and the second derivative of Gaussian filter, and two coding schemes, competitive code and ordinal measure on PolyU palmprint database. Results of verification experiment show that Gabor filter and competitive coding scheme is superior to other methods.