Finger-Knuckle-Print Recognition Using Gabor Feature and OLDA

摘要：

Recently, a new biometrics recognition, finger-knuckle-print (FKP), has attractive interests of researchers. The popular techniques used in face recognition are not applied in finger-knuckle-print recognition. Inspired by the success of Gabor in face recognition, we propose a method that uses Gabor feature and orthogonal linear discriminant analysis (OLDA) to identify finger-knuckle-print. The experimental results show that our proposed method can work well.

作者: YANG Wankou SUN Changyin SUN Zhongxi

作者单位: School of Automation, Southeast University, Nanjing 210096, P.R.China School of Automation, Southeast University, Nanjing 210096, P.R.China College of Science, Hohai Univ

会议类型: 国际会议

会议名称: The 30th Chinese Control Conference(第三十届中国控制会议)

会议地点: 烟台

会议语种:英文

页码: 1-4

在线出版日期: 2011-07-01（万方平台首次上网日期，不代表论文的发表时间）