Face and Eye Recognition on Gray Image using DWT with RBFSVM Method
Naveen Kumar Ahirwar, Manish Dixit · International Journal of Signal Processing Image Processing and Pattern Recognition · 2016
Facial part detection or extraction shows the most important role in face and eye recognition.In this article proposed a new algorithm for Face and Eye Recognition (FER) using radial basis function support vector machine (RBFSVM) classifier.The discrete wavelet transform (DWT) is used for feature extraction and selection.For the experimental results, used JAFFE and ORL database.In this algorithm, extract face component like left eye, right eye, mouth and nose.In the preprocessing stage, apply median filtering for removing noise from an image.This stage improves the feature extraction process.Finding an image from the image components is a typical task in pattern recognition.The detection rate has reached up to100% for eye recognition and for face recognition is 90-96%.The proposed system estimates the value of precision and recall.This algorithm is compared with SVM and our proposed proved better than previous algorithms.