Published Paper Details:

Finger vein recognition technology is a new biometric technology, which has the characteristics of the living capture, stability, difficult to steal and imitation, etc. has a wide application space in the field of information security. However, the quality of the finger vein image capture and the accuracy of the finger vein extraction are directly related to the accuracy of the recognition. Finger vein recognition has been considered one of the most promising biometrics for personal authentication. However, the capacities and percentages of finger tissues (e.g.bone, muscle, ligament, water, fat, etc.) vary person by person. This usually causes poor quality of finger vein images, therefore degrading the performance of finger vein recognition systems (FVRSs). In this paper, the intrinsic factors of finger tissue causing poor quality of finger vein images are analyzed, and an intensity variation (IV) normalization method using guided filter based single scale retinex (GFSSR) is proposed for finger vein image enhancement.