A Novel Approach To Facial Feature Extraction And Face Recognition
Journal Title: International Journal of Electronics Communication and Computer Technology - Year 2014, Vol 4, Issue 3
Abstract
We present an approach to the detection and recognition of human face and propose a face recognition system which detects a face in a given test image, extracts features from the test image and then recognizes the person by locating the extracted features of the person on the face images of known individuals present in the database. The image on which maximum features are located is said to be the recognized person. For the extraction of the facial features like eyes mouth nose etc, from the facial image we apply morphological operations and canny edge operator. The proposed system is trained using Genetic Algorithm. Experimental results show that the proposed system recognizes an individual with a good accuracy even if the person comes in different poses.
Authors and Affiliations
Manan Kumar Tiwari| (ME Scholar): Electronics & Telecommunication SSCET, SSGI Junwani Bhilai, India, Dr. Neeta Tripathi| Principal Dept. of Electronics & Telecommunication SSITM Bhilai: SSGI Bhilai Bhilai, India
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