Line feature extraction and matching in palmprint

Palmprint is a new biometric method to recognize a person. The most important feature of palmprint is the lines. In this paper, a set of line detector is devised for palmprint. There are two parameters in these detectors, one controls the smoothness and connection of the lines, the other controls the width of lines which can be detected. The lines in different directions are detected by corresponding direction detectors and then fused into one edge image. In training stage, the lines of the training samples are represented and stored with chain code. In the verification stage, the lines are matched using Hausdorff distance. Experimental results show the efficiency of this method.