Fusion of finger vein and finger dorsal texture for personal identification based on Comparative Competitive Coding

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, is explored on simultaneously captured finger ventral vein and finger dorsal images. We developed a “Comparative Competitive Coding” (C
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Code) fusion scheme. It is capable of discarding undesired information in unimodal feature extraction stage. And only discriminative information can be preserved. Furthermore, the C
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Code 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.