Study on Finger-Articular Back Texture Recognition
Humans finger-articular back texture(FABT),as a novel biometric identification pattern,has been studied.As a basis set of FABT space,eigenjoints are extracted by principle component analysis.The features of each Finger-Articular Back Texture are computed by projecting on the related eigenjoint space.In matching stage,the decision are made by using nearest neighbor classifier based on Mahalanobis distance.The results show that: back finger-joint texture has high uniqueness in terms of high recognition accuracy rate (97.57 percent);the inter-class and intra-class have good separability;and recognition speed is fast enough for real time identification.
Biometrics Finger-Articular Back Texture Principal component analysis Eigenjoints Receiver operating characteristic curve
Chang-yu Wang Shang-ling Song Feng-rong Sun Liang-mo Mei
School of Information Science and Engineering,Shandong UniversityJinan,Shandong,250100,P.R.China School of Information Science and Engineering,Shandong University Jinan,Shandong,250100,P.R.China
国际会议
9th International Conference on Signal Processing(第九届国际信号处理学术会议)(ICSP08)
北京
英文
2008-10-26（万方平台首次上网日期，不代表论文的发表时间）