Efficient Finger Vein Localization and Recognition

Authors:
Jinfeng Yang;Xu Li
Affiliations:
-;-
Venue:
ICPR '10 Proceedings of the 2010 20th International Conference on Pattern Recognition
Year:
2010

Citing 0
Cited 4

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Comparative competitive coding for personal identification by using finger vein and finger dorsal texture fusion

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Towards finger-vein image restoration and enhancement for finger-vein recognition

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Abstract

In order to achieve accurate recognition of human finger vein (FV), this paper addresses the problems of finger vein localization and vein feature extraction. An inherent physical property of human fingers is used to localize the region of interest (ROI) of vein images as well as removing uninformative vein imagery based on the inter-phalangeal joint prior. In addition, vein images are characterized as a series of energy features through steerable filters. Experimental results show the promising performance of the proposed algorithm for human vein identification.