广西科学院学报2016，Vol.32Issue(1)：36-41,6.
正交 Haar 变换的眉毛识别方法
Orthogonal Haar Transform for Eyebrow Recognition
摘要
Abstract
Objective]To improve the efficiency of current method on the eyebrow recogni-tion.[Methods]Orthogonal Haar Transform Eyebrow Recognition method was established by using fast orthogonal Haar Transform template matching algorithm (FOHT).The ap-proaches of maximum standard template and adaptive threshold were used to solve the prob-lems of FOHT,which could only process the situation of standard template and need to set the threshold manually.These methods increased the automatic degree of eyebrow recogni-tion,and improved the recognition efficiency.[Results]Experimental results showed that the recognition efficiency of the proposed method increased about 32% than that of the original method.[Conclusion]The orthogonal Haar transform eyebrow recognition method shows better real-time performance and is practically valuable for the promotion and application of eyebrow recognition.关键词
眉毛识别/正交 Haar 变换/模板匹配/最大标准子模板/自适应阈值Key words
eyebrow recognition/orthogonal Haar transform/template matching/maximum standard template/adaptive threshold分类
信息技术与安全科学引用本文复制引用
李厚君,王日凤,李春贵..正交 Haar 变换的眉毛识别方法[J].广西科学院学报,2016,32(1):36-41,6.基金项目
国家自然科学基金项目(61440017),广西科技大学博士基金项目(院科博11z13)和广西多源信息挖掘与安全重点实验室开放基金项目(MIMS13-04)资助。 （61440017）
