Open AccessAutomatic Face Recognition for Various Expressions and Facial Details
Author(s) -
Mr Guru,
Kumar Lokku,
G. Harinatha Reddy,
Mukesh Prasad
Publication year - 2019
Publication title -
international journal of innovative technology and exploring engineering
Language(s) - English
Resource type - Journals
ISSN - 2278-3075
DOI - 10.35940/ijitee.i3048.0789s319
Subject(s) - computer science , facial recognition system , three dimensional face recognition , biometrics , artificial intelligence , face (sociological concept) , face recognition grand challenge , face detection , computer vision , 3d single object recognition , feature extraction , object class detection , identification (biology) , feature (linguistics) , sketch recognition , pattern recognition (psychology) , cognitive neuroscience of visual object recognition , gesture recognition , gesture , social science , linguistics , botany , philosophy , sociology , biology
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.