Palmprint recognition using eigenpalms features
Pattern Recognition Letters
Near- and Far- Infrared Imaging for Vein Pattern Biometrics
AVSS '06 Proceedings of the IEEE International Conference on Video and Signal Based Surveillance
Palm Vein Verification System Based on SIFT Matching
ICB '09 Proceedings of the Third International Conference on Advances in Biometrics
Identity verification through palm vein and crease texture
ICB'06 Proceedings of the 2006 international conference on Advances in Biometrics
Face recognition by independent component analysis
IEEE Transactions on Neural Networks
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To solve the problem of low recognition performance caused by contact-less imaging and poor palm vein image quality, a novel recognition method is proposed. Firstly, the ROI based on the thenar (a part of palm) is located; secondly, the palm vein features based on wavelet decomposition and partial least square are extracted; finally, the images are matched by Euclidean distance. In self-build palm vein database, the experimental result shows that the best recognition rate of this method reaches 99.86%. Comparing with the other typical palm vein recognition methods, the performance of proposed approach is the best. In conclusion, the scheme can improve the identification performance of contact-less palm vein recognition significantly.