{"title":"A Survey of Face Recognition Technique","authors":"E. Omidiora, O. Fakolujo, R. O. Ayeni, Tm Ajila","doi":"10.4314/JASET.V7I1.42722","DOIUrl":null,"url":null,"abstract":"A review of face recognition techniques has been carried out. Face recognition has been an attractive field in the society of both biological and computer vision of research. It exhibits the characteristics of being natural and low-intrusive. In this paper, an updated survey of techniques for face recognition is made. Methods of face recognition, such as, geometric, statistical and neu-ral networks approaches are presented and analyzed. The comparative performance of the vari-ous approaches is discussed. Keywords : Face recognition, Multilayer Perceptron, Statistical Approaches, Neural Network Approaches, Geometric Approaches, Biometric methods","PeriodicalId":7884,"journal":{"name":"Andalasian International Journal of Applied Science, Engineering and Technology","volume":"68 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2009-05-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"10","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Andalasian International Journal of Applied Science, Engineering and Technology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.4314/JASET.V7I1.42722","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 10
Abstract
A review of face recognition techniques has been carried out. Face recognition has been an attractive field in the society of both biological and computer vision of research. It exhibits the characteristics of being natural and low-intrusive. In this paper, an updated survey of techniques for face recognition is made. Methods of face recognition, such as, geometric, statistical and neu-ral networks approaches are presented and analyzed. The comparative performance of the vari-ous approaches is discussed. Keywords : Face recognition, Multilayer Perceptron, Statistical Approaches, Neural Network Approaches, Geometric Approaches, Biometric methods