Skin Segmentation Based Elastic Bunch Graph Matching for Efficient Multiple Face Recognition

Part of the Advances in Intelligent and Soft Computing book series (AINSC, volume 166)

Abstract

This paper is aimed at developing and combining different algorithms for face detection and face recognition to generate an efficient mechanism that can detect and recognize the facial regions of input image.

For the detection of face from complex region, skin segmentation isolates the face-like regions in a complex image and following operations of morphology and template matching rejects false matches to extract facial region.

For the recognition of the face, the image database is now converted into a database of facial segments. Hence, implementing the technique of Elastic Bunch Graph matching (EBGM) after skin segmentation generates Face Bunch Graphs that acutely represents the features of an individual face enhances the quality of the training set. This increases the matching probability significantly.

Keywords

Elastic Bunch Graph Matching Skin Segmentation Gabor Wavelets Graph Similarity Template Matching Face Bunch Graph Face Recognition Database of University of Essex 

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Copyright information

© Springer-Verlag GmbH Berlin Heidelberg 2012

Authors and Affiliations

  1. 1.Department of Electrical EngineeringNIT RourkelaRourkelaIndia

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