a new palm vein matching method based on icp algorithm
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.
matching biometric image alignment palm vein recognition