Rongyang Xiao

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Region of Interest (ROI) extraction is a crucial step in an automatic finger vein recognition system. The aim of ROI extraction is to decide which part of the image is suitable for finger vein feature extraction. This paper proposes a finger vein ROI extraction method which is robust to finger displacement and rotation. First, we determine the middle line(More)
Finger vein patterns are considered as one of the most promising biometric authentication methods for its security and convenience. Most of the current available finger vein recognition methods utilize features from a segmented blood vessel network. As an improperly segmented network may degrade the recognition accuracy, binary pattern based methods are(More)
Finger vein recognition is a promising biometric recognition technology, which verifies identities via the vein patterns in the fingers. Binary pattern based methods were thoroughly studied in order to cope with the difficulties of extracting the blood vessel network. However, current binary pattern based finger vein matching methods treat every bit of(More)
Finger vein recognition is a promising biometric recognition technology , which verifies identities via the vein patterns in the fingers. The vein vessel network is a very important vein pattern for finger vein recognition. Based on this pattern, in the matching stage, the matched pixel ratio (MPR), Hamming distance (HD) and the mismatched ratio are(More)
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