Template Based Face Recognition using Real Images

This paper proposes a face recognition algorithm based on histogram equalization methods. These methods allow standardizing the faces illumination reducing in such way the variations for further features extraction; Face recognition using Histogram equalization and eigenfaces are used to provide better results than the earlier techniques i.e. LDA and PCA. Results obtained with these techniques are more accurate and robust. ROC and results are compared at the end of the paper. Algorithm is tested and checks on the ORL database as well as images taken outside from the database. This is the first ever method which is being implemented and provide more perfectly matched results even on images taken outside from the database (ORL).

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