Abstract
A new method is proposed which uses CLAHEM process for enhancing the image and the recognition of the face is done based on GPP-HM. The CLAHEM technique is a variant of adaptive histogram equalization in which the contrast amplification is limited to reduce the problem of noise amplification. This is a computer image processing technique used to improve contrast in the images. There are many databases available as open web source, which are in use currently and the choice varies based on the task—aging, expression and lighting. From the data set specific to the property to be tested (how algorithm behaves when given images with lighting changes / different facial expressions) the databases—Yale Face Database, PIE Database—CMU, AT&T “The Database of Faces” (formerly “The ORL Database of Faces”) and Indian Face Database are chosen. The face is recognized by processing the data matrix and the training phase matrix for similarity and the matrix is formed. From this similarity, the accuracy of the face features is recognized.
Published Version
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