Smart Face Recognition Using Machine Learning

• Author(s): V.Vinupriya ; S.Aswathy ; J.Kayalvizhi ; M.Rakavi ; A.Dharani
• Paper ID: 1701147
• Page: 208-211
• Published Date: 03-05-2019
• Published In: Iconic Research And Engineering Journals
• Publisher: IRE Journals
• e-ISSN: 2456-8880
• Volume/Issue: Volume 2 Issue 10 April-2019

Abstract

in current trend, Biometric Identification (BI) is one of the most researched topics. Face recognition is most important techniques in biometric identification. Face recognition is the method to identifying individual face, enhanced at a faster rate. This system is an important field of Computer Vision. In this paper, FRS is proposed. For recognizing a face we are using machine learning for high accuracy. Fisher face algorithm is a popular algorithm for recognizing a face in machine learning. The purpose of this research is establish a program of face recognition application using fisher face algorithm by utilizing GUI applications and databases that are used in the facial image. This algorithm is based on the principle of LDA (Linear discriminate analysis).The feature of this algorithm is effective in the case of occlusion and multi pose.

Keywords

Principal Component Analysis (PCA), Linear Discriminate Analysis (LDA), Biometric Identification (BI), Face Recognition System (FRS), Fisher linear discriminate (FLD).

Citations

IRE Journals:
V.Vinupriya , S.Aswathy , J.Kayalvizhi , M.Rakavi , A.Dharani "Smart Face Recognition Using Machine Learning" Iconic Research And Engineering Journals Volume 2 Issue 10 2019 Page 208-211

IEEE:
V.Vinupriya , S.Aswathy , J.Kayalvizhi , M.Rakavi , A.Dharani "Smart Face Recognition Using Machine Learning" Iconic Research And Engineering Journals, 2(10)