Gender Classification Based on Face Images of Local Binary Pattern Using Support Vector Machine and Back Propagation Neural Networks
Tulasi Sajja, Hemantha Kumar Kalluri · Advances in Modelling and Analysis B · 2019
In this paper, presented a Gender classification through Support Vector Machine (SVM) and Scaled Conjugate Gradient Back Propagation Neural Network (SCGBPNN) from face images using Local Binary Patterns.To achieve better classification performance, need to be applied pre-processing technique first and then extracted the features on facial images from Local Binary Pattern Histogram (LBPH) method.These extracted features were stored into a vector called feature vector.Later, the feature vector is inputted to Polynomial SVM and SCG Back Propagation Neural Network classification methods along with labelled target vector.The performance of the both classifiers is measured by the labelled AT&T face database and Nottingham Scan Database.