Abstract
Face recognition is a type of biometric software application that works on "Verification" and "Identification", which is very strong in authentication field because of its accuracy, reliability, and capability of keeping information's safe and well maintained. Face recognition applications recognizes a person based on face. The system will capture the image of a person and store it and then will try to recognize the person based on some unique features of human face that are previously present in the dataset. This paper explains review of Face Recognition Work Flow, Existing systems and results that are given by authors are shown. Face Recognition techniques such as Principle Component Analysis and Neural Networks are explained.
Cite
CITATION STYLE
Pubalee K. Bora, Fujaiel Rahman, & Manasi Hazarika. (2015). A Review on Face Recognition Approaches. International Journal of Engineering Research And, V4(05). https://doi.org/10.17577/ijertv4is050664
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