A Method for Registration of 3-D Shapes
IEEE Transactions on Pattern Analysis and Machine Intelligence - Special issue on interpretation of 3-D scenes—part II
The Using of Thermal Images of Palm-dorsa Vein-patterns for Biometric Verification
ICPR '04 Proceedings of the Pattern Recognition, 17th International Conference on (ICPR'04) Volume 4 - Volume 04
Near- and Far- Infrared Imaging for Vein Pattern Biometrics
AVSS '06 Proceedings of the IEEE International Conference on Video and Signal Based Surveillance
Minutiae feature analysis for infrared hand vein pattern biometrics
Pattern Recognition
Palm vein extraction and matching for personal authentication
VISUAL'07 Proceedings of the 9th international conference on Advances in visual information systems
A thermal hand vein pattern verification system
ICAPR'05 Proceedings of the Third international conference on Pattern Recognition and Image Analysis - Volume Part II
Identity verification through palm vein and crease texture
ICB'06 Proceedings of the 2006 international conference on Advances in Biometrics
Biometric verification using thermal images of palm-dorsa vein patterns
IEEE Transactions on Circuits and Systems for Video Technology
Palm vein biometrics based on infrared imaging and complex matched filtering
Proceedings of the 12th ACM workshop on Multimedia and security
A novel biometric system based on palm vein image
Pattern Recognition Letters
Palm vein recognition using adaptive Gabor filter
Expert Systems with Applications: An International Journal
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Palm vein as a new and promising biometric feature has drawn lots of research and industry attention. Palm vein owns many outstanding characteristics, such as liveness detection and hard to forgery. Matching is a key step in palm vein verification. However, due to the problem of image rotation, shift and noise, current matching methods are difficult to reach high accuracy. This paper proposed an efficient refinement method for palm vein matching by adopting the iterative closest point (ICP) algorithm, which can accurately align the rotation and shift variations introduced in data acquisition. The experiment results on a large self-collected database show that the proposed method is effective and can greatly improve the accuracy of palm vein verification.