Component Based Representation Using Probabilistic NeuralNetwork Classifier
Journal Title: IOSR Journals (IOSR Journal of Computer Engineering) - Year 2014, Vol 16, Issue 6
Abstract
Abstract: The law enforcement agency make use of face recognition system for the identification of criminals.In some cases, the photograph of criminals is not available. In this situation,sketch is drawn by the informationprovided by the eyewitness. In the early stages sketches are drawn by the artist by the information provided bythe eyewitness. Sometimes the witness does not recall the exact apperance of the suspect. In that case,sketchdrawn is not helpfull for investigation. In this networked world, the sketch construction with the help ofcomputer generated software arises. The computer generated composite sketch is constructed by selecting thefacial components provided in the system database. The composite sketch construction gives more faster resultsfor the law enforcement agency. The component based approach for face recognition using probabilistic neuralnetwork classifier gives more accurate result in photo to sketch matching. The proposed approach performsfacial decomposition, some transformations and feature extraction for photo to composite matching. The use ofclassifier is helpfull for comparing the features of face images and gives the degree of match to make a decision. The advantage of using Probabilisitic Neural Network( PNN) classifier is that it requires only short trainingtime
Authors and Affiliations
Anjali G
Keywords
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