Title :
Hand-dorsa vein recognition based on partition Local Binary Pattern
Author :
Wang, Yiding ; Li, Kefeng ; Cui, Jiali
Author_Institution :
Coll. of Inf. Eng., North China Univ. of Technol., Beijing, China
Abstract :
A new hand-dorsa vein recognition method based on Partition Local Binary Pattern (PLBP) is presented in this paper. The proposed method employs hand-dorsa vein images acquired from a low-cost, near infrared device. After preprocessing, the image is divided into sub-images. LBP uniform pattern features are extracted from all the sub-images, which are combined to form the feature vector for token vein texture features. The method is assessed using a similarity measure obtained by calculating the distance between the feature vectors of the tested sample and the target sample. The algorithm is tested on a database of 2040 images from 102 individuals built up by a custom-made acquisition device. The experimental results show that PLBP performs better than other features.
Keywords :
biometrics (access control); feature extraction; image recognition; visual databases; feature extraction; feature vector; hand-dorsa vein recognition; near infrared device; partition local binary pattern; similarity measure; token vein texture features; Biometrics; Feature extraction; Image recognition; Pattern recognition; TV; Veins; Wiener filter; Biometrics; Partition Local Binary Pattern (PLBP); hand-dorsa vein;
Conference_Titel :
Signal Processing (ICSP), 2010 IEEE 10th International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4244-5897-4
DOI :
10.1109/ICOSP.2010.5656717