Automatic Face Recognition for Various Expressions and Facial Details
Guru Kumar Lokku1, G. Harinatha Reddy2, M. N. Giri Prasad3
1Mr. Guru Kumar Lokku, Research Scholar, Department of E.C.E., J.N.T.U.C.E.A., A.P, India
2Dr. G. Harinatha Reddy, Professor, Department of E.C.E., N.B.K.R.I.S.T., A.P., India
3Dr. M. N. Giri Prasad, Professor, Department of E.C.E., J.N.T.U.C.E.A., A.P., India.
Manuscript received on 02 July 2019 | Revised Manuscript received on 16 July 2019 | Manuscript Published on 23 August 2019 | PP: 264-268 | Volume-8 Issue-9S3 August 2019 | Retrieval Number: I30480789S319/2019©BEIESP | DOI: 10.35940/ijitee.I3048.0789S319
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open-access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Face Recognition Technique (FRT) was a unique Biometric Technique which tries to spot the people from still images or video frames by using techniques of pattern recognition. Face recognition includes both face identification and face verification (authentication). The FR Design system follows two basic steps i.e. Feature extraction and classification of patterns. Automated FR finds many applications in real time environment ranging from Social Media, surveillance to biometric authentications. Many state-of-the-art face recognition techniques had been implemented, but the Automated Face Recognition (AFR) taken by digital cameras in unconstraint real‐world environment continues to be terribly difficult, since it involves vital variations in each acquisition conditions, yet as in facial expressions and in pose variations. Thus, this paper presents the theme of computer based automatic face recognition in lightweight of the most contests therein areas with developed solutions that supports applications of signal, image processing and computing strategies.
Keywords: Face Acknowledgement, HOG, Machine learning, PCA, Wild.
Scope of the Article: Machine Learning