Abstract—Comparative competitive coding for personal identification by using finger vein and finger dorsal texture fusion. In this paper, we present a multimodal personal identification system using finger vein and finger dorsal images with their fusion applied at the feature level. A scheme which combines the registration of image pairs with the region-of-interest (ROI) segmentation, < Final Year Projects > is explored on simultaneously captured finger ventral vein and finger dorsal images. We developed a “Comparative Competitive Coding” (C2Code) fusion scheme. It is capable of discarding undesired information in unimodal feature extraction stage. And only discriminative information can be preserved. Furthermore, the C2Code contains new feature of junction points from the finger vein and finger dorsal image pairs. Experimentally, we establish a dataset of finger vein and finger dorsal images. Comparing the performance of proposed fusion scheme with unimodal methods, higher identification accuracy and lower Equal-Error-Rate (EER) are achieved.
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