International Journal of Innovative Research and Development

Rishabh Rai , M. C. Bansal , Anubhav Kumar

Abstract

Face detection has been a fascinating problem for image processing researchers during the last decade because of many important applications such as video face recognition at airports and security check-points, digital image archiving, etc. In this paper, we attempt to detect faces in a digital image using various techniques such as skin color segmentation, morphological processing, template matching, fisher linear discriminant (fld), eigenface decomposition, and support vector machines (svm). We determined that the more complex classifiers did not work as well as expected due to the lack of large databases for training. Reasonable results were obtained with color segmentation, template matching at multiple scales, and clustering of correlation peaks.

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