期刊名称：International Journal of Computer Science and Network
印刷版ISSN：2277-5420
出版年度：2013
卷号：2
期号：6
页码：108-113
出版社：IJCSN publisher
摘要：The gender recognition system with large sets oftraining sets for personal identification normally attains goodaccuracy. The features set are applied to three differentapplications: Pre-processing, Feature Extraction andClassification. The gender are classified on the basis of distancebetween eyebrow to eye, eyebrow to nose top, nose top to mouth,eye to mouth, left eye to right eye, width of nose, width ofmouth. First to extract these features by using Viola Jonesalgorithm and then apply Artificial Neural Network. The featuresset is applied to three different applications: face recognition,facial expressions recognition and gender classification. In thispaper described two phases such as feature extraction phase andclassification phase. The proposed system produced verypromising recognition rates for our applications with same set offeatures and classifiers.
