A Survey on Various Feature Extraction Techniques and Face Recognition Methodologies using Neural Networks

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Nikita Sharma


Face is a complex multidimensional visual model and developing a computational model for face recognition. The Proposed methodology is consist of two stages – Feature extraction and recognition various Neural Network. Face recognition has become a valuable tool used by criminal investigators. Face recognition is more demanding because it must be able to handle facial images captured under non-ideal conditions and it has high liability for following legal procedures. This paper discusses recent developments in automated face recognition . Improvements in face recognition through research in facial aging, facial marks, forensic sketch recognition, face recognition in video, near infrared face recognition will be discussed. Previous work related  to face recognition will also be discussed in this paper.



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