Volume : IV, Issue : XII, December - 2015

An Efficient fusion strategy for Human face detection

Rupali B. Pawar, Sarika Deokate

Abstract :

In this paper, Face recognition is done by using LPOG (local patterns of Gradients). Face Recognition is done through different techniques such as channel separation, Grey Scaling, Edge Detection, Face localization, cropping, and image–segmentation. In this process, input image is divided into blocks, here input image can be captured by webcam or also we can extract image from video. Input image will be of 24 bits and depending upon that blocks face is recognized using different techniques. Feature vectors are generated after going through this process. Comparison is done by using Classifier such as ANN and distance measure algorithm that is Euclidean. Accuracy will be improved by using fusion strategy of ANN and Euclidean. System has potential to improve accuracy

Keywords :

Article: Download PDF   DOI : 10.36106/ijsr  

Cite This Article:

Rupali B. Pawar, Sarika Deokate An Efficient Fusion Strategy for Human Face Detection International Journal of Scientific Research, Vol : 4, Issue : 12 December 2015

Number of Downloads : 930

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