摘要
为了对眉毛这一新颖生物特征开展识别研究,提出了一种基于小波变换方法和支持向量机(SVM)的眉毛身份验证方法。其基本思想是用小波变换提取眉毛图像特征,然后用SVM进行训练和验证。在自建的100人眉毛数据库中进行的实验结果表明,该系统具有较低的错误拒绝率29.58%和错误接受率8.22%,从而验证了眉毛用于个人身份鉴别的可能性和有效性。
In order to study the novel biometric of eyebrow, this paper presented an eyebrows verification based on wavelet transform and support vector machines （SVM）. Extracted the features of the eyebrows image by wavelet transform, and then classified them based on SVM. Verification results of the experiment on an eyebrow database taken from 100 of self-built personal demonstrated the effectiveness of the system. The system had a lower FAR 8.22% and FRR 29.58%. Therefore, eyebrow recongnition may possibly apply to personal identification.
出处
《计算机应用研究》
CSCD
北大核心
2009年第11期4202-4204,共3页
Application Research of Computers
基金
国家自然科学基金资助项目(60775010)
北京市属市管高等学校中青年骨干教师培养计划资助项目PHR(IHLB)
关键词
生物特征识别
眉毛识别
身份验证
小波变换
支持向量机
biometrics identification
eyebrow recognition
personal verification
wavelet transform
support vector machine
