Face Recognition Using Sequence Combinatorics
作者单位：College of Shipbuilding EngineeringHarbin Engineering University
会议名称：《2013年中国智能自动化学术会议》
会议日期：2013年
学科分类：08[工学] 080203[工学-机械设计及理论] 0802[工学-机械工程]
关 键 词：All common subsequences(ACS) Face recognition kNN SVM 2DPCA 2DLDA
摘 要：This paper presents a sequence similarity,called all common subsequences (ACS),for use with support vector machine(SVM) and k-nearest neighbors(kNN) to the face recognition *** first decompose face images as row and column *** use ACS,which compares two sequences by counting the number of occurrence of common subsequences,to measure the similarity of each pair of corresponding sequences in two images and the average of similarity of all pairs of sequences is proposed to be the similarity of two *** on four public face databases:Caltech,Jaffe,Orl and Yale databases,demonstrate that ACS can achieve higher recognition accuracy than some classic face recognition methods,e.g.2DPCA and 2DLDA.