Fingerprint Image Enhancement: Algorithm and Performance Evaluation
IEEE Transactions on Pattern Analysis and Machine Intelligence
Distinctive Image Features from Scale-Invariant Keypoints
International Journal of Computer Vision
A Performance Evaluation of Local Descriptors
IEEE Transactions on Pattern Analysis and Machine Intelligence
ICPR '06 Proceedings of the 18th International Conference on Pattern Recognition - Volume 04
A thermal hand vein pattern verification system
ICAPR'05 Proceedings of the Third international conference on Pattern Recognition and Image Analysis - Volume Part II
Palm vein recognition based on three local invariant feature extraction algorithms
CCBR'11 Proceedings of the 6th Chinese conference on Biometric recognition
Enhancing the privacy of electronic passports
International Journal of Information Technology and Management
Palm vein recognition using curvelet transform
Proceedings of the 27th Conference on Image and Vision Computing New Zealand
Hand dorsal vein recognition based on hierarchically structured texture and geometry features
CCBR'12 Proceedings of the 7th Chinese conference on Biometric Recognition
Contact-Less palm vein recognition based on wavelet decomposition and partial least square
CCBR'12 Proceedings of the 7th Chinese conference on Biometric Recognition
Hand vein recognition based on oriented gradient maps and local feature matching
ACCV'12 Proceedings of the 11th Asian conference on Computer Vision - Volume Part IV
Hi-index | 0.00 |
We present in this communication a new biometric system based on the use of hand veins acquired by an infrared imager. After the preprocessing stage and binarization, the vein image is characterized by specific patterns. One originality of the proposed system is to use SIFT descriptors for the verification process. The developed method only necessitates a single image for the enrollment step allowing a very fast verification. The experimental results on a database containing images of 24 individuals acquired after two sessions show the efficiency of the proposed method.