Finger Vein Verification with Vein Textons

Lumei Dong, Gongping Yang, Yilong Yin, Xiaoming Xi, Lu Yang, Fei Liu
2015 International journal of pattern recognition and artificial intelligence  
Finger vein pattern has become one of the most promising biometric identifiers. In this paper, a robust method based on Bag of Words (BoW) is developed for finger vein verification. Firstly, some robust and discriminative visual words are learned from local base features such as Local Binary Pattern (LBP), Mean Curvature and Webber Local Descriptor (WLD). We name these visual words as Finger Vein Textons (FVTs). Secondly, each image is mapped into a FVTs matrix. Finally, spatial pyramid
more » ... (SPM) method is applied to maintain spatial layout information by representing each image as pyramid histogram which is performed for matching by histogram intersection function. Experimental results show that the proposed method achieves satisfactory performance both on our database and the open PolyU database. In addition, our method also has strong robustness and high accuracy on the self-built rotation and illumination databases.
doi:10.1142/s0218001415560030 fatcat:e64e2p2y4jhfnm24gftgsd7tva