Eyebrows identity authentication based on wavelet transform and support vector machines
In order to study the novel biometric of eyebrow,this paper presents an Eyebrows identity authentication based on wavelet transform and support vector machines. The features of the eyebrows image are extracted by wavelet transform, and then classifies them based on SVM . Verification results of the experiment on an eyebrow database taken from 100 of self-built personal demonstrate the effectiveness of the system. The system has a lower FAR 0.22%and FRR 28% Therefore, eyebrow recongnition may possibly apply to personal identification.
biometrics identification eyebrow identity authentication personal verification wavelet transform support vector machine
CAO Jun-bin Yang Haitao Ding Lili
The First Aviation Institute of Air Force Xingyang, China
国际会议
2010 International Conference on Circuit and Signal Processing(2010年电路与信号处理国际会议 ICCSP 2010)
上海
英文
149-152
2010-12-25(万方平台首次上网日期,不代表论文的发表时间)