Finger Vein Image Denoising Based on Compressive Sensing

摘要：

To extract venous information from noise-addedimages acquired by infrared sensor, in this paper, we presents acompressive sensing (CS) based application --gradient projectionfor sparse reconstruction (GPSR) --to reduce noise in syntheticvein images and real finger vein images respectively. Thencompares the result with the reconstruction by wavelet thresholddenoising algorithm. The results show that the GPSR has betterperformance than the wavelet threshold method in reducingnoise, avoids losing the edge information of finger vein, and thusprovides more accurate information for vein recognition andextraction.

作者: Meimei Chen Shuxu Guo Yao Wang Bin Wu Siyao Yu Xiangxin Shao Lang Wang

作者单位: College of Electronic Science and Engineering, Jilin University Changchun 130012, China

会议类型: 国际会议

会议名称: The 4th International Conference on Bioinformatics and Biomedical Engineering(第四届IEEE生物信息与生物医学工程国际会议 iCBBE 2010)

会议地点: 成都

会议语种:英文

页码: 1-4

在线出版日期: 2010-06-18（万方平台首次上网日期，不代表论文的发表时间）