Hand-dorsa Vein Recognition Based on Partition Local Binary Pattern

摘要：

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.

关键词： Biometrics hand-dorsa vein Partition Local Binary Pattern (PLBP)

作者: Yiding Wang Kefeng Li Jiali Cui

作者单位: College of Information Engineering North China University of Technology Beijing, China

会议类型: 国际会议

会议名称: 2010 IEEE 10th International Conference on Signal Processing(第十届信号处理国际会议 ICSP 2010)

会议地点: 北京

会议语种:英文

页码: 1671-1674

在线出版日期: 2010-08-24（万方平台首次上网日期，不代表论文的发表时间）