文章基本信息

标题：Face Recognition using Sift Key with Optimal Features Selection Model
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作者：Mandeep Kaur ; Jasjit Kaur
期刊名称：International Journal of Innovative Research in Computer and Communication Engineering
印刷版ISSN：2320-9798
电子版ISSN：2320-9801
出版年度：2017
卷号：5
期号：5
页码：9628
DOI：10.15680/IJIRCCE.2017.0505064
出版社：S&S Publications
摘要：Facial expression is mind boggling in nature because of army of varieties present. These varieties arerecognized and recorded utilizing highlight extraction components. The specialists have worked towards it and madeclassifiers for distinguishing face demeanor. The classifiers include Principal segment examination (PCA), LocalPolynomial estimation (LPA), Linear paired example (LBP), Discrete wavelet change (DWT) and so forth. Theproposed work manages the new classifier utilizing SIFT key with hereditary calculation to recognize particular facialexpression. Ideal components of existing calculations are utilized inside the proposed work. Additionally examinationof existing strategies, for example, LBP, PCA and DWT is given SIFT key with hereditary calculation. The outcomesdemonstrate that proposed classifier gives better outcome as far as recognition rate.
关键词：Feature Extraction; Classifier; PCA; LPA; LBP; DWT; SIFT key; Genetic algorithm