Skin Segmentation based Elastic Bunch Graph Matching for efficient multiple Face Recognition
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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
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- Version 1, 2013-10-22, ArXiv
- Published version: , 31.
This publication has 6 references indexed in Scilit:
- Face recognition by elastic bunch graph matchingIEEE Transactions on Pattern Analysis and Machine Intelligence, 1997
- Distortion invariant object recognition in the dynamic link architectureIEEE Transactions on Computers, 1993
- Computation of component image velocity from local phase informationInternational Journal of Computer Vision, 1990
- Low-dimensional procedure for the characterization of human facesJournal of the Optical Society of America A, 1987
- Phase Relationships Between Adjacent Simple Cells in the Visual CortexScience, 1981
- Identification of human facesProceedings of the IEEE, 1971