Local Gabor Phase Feature for Palm-Dorsal Vein Recognition

摘要：

This paper presents a novel palm-dorsal vein recognition approach based on Local Gabor phase feature. Firstly, the proposed method locates the region of interest (ROI) of the palm-dorsal vein image and then extracts quadrant-bit codes from the vein image based on the Gabor transformation. Finally, the local Gabor phase feature encodes the local neighborhood phase variations by using a local XOR pattern operator. To verify the efficiency of our method, experiments were carried on our own palmdorsal vein image database. The experimental results show that the local Gabor phase feature could provide sufficient information for vein recognition.

关键词： Vein Recognition Quadrant-bit Codes Local Gabor Phase Feature Local XOR Pattern

作者: Yingjie Zheng Xiaodong Gu

作者单位: Department of Electronic Engineering, Fudan University, Shanghai, China

会议类型: 国际会议

会议名称: 2010 International Conference on Image Analysis and Signal Processing(2010 图像分析与信号处理国际会议 IASP 10)

会议地点: 厦门

会议语种:英文

页码: 338-342

在线出版日期: 2010-04-12（万方平台首次上网日期，不代表论文的发表时间）