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Please use this identifier to cite or link to this item: http://dspace.unimap.edu.my:80/dspace/handle/123456789/7152

Title: A face recognition system using template matching and neural network classifier
Authors: Muhammad Firdaus, Hashim
Puteh, Saad
Mohamed Rizon, Mohamed Juhari
Shahrul Nizam, Yaakob
Keywords: Feature extraction;Face recognition;Neural network;Face recognition system;Image processing;Neural networks (Computer science);Human face recognition (Computer science)
Issue Date: 14-May-2005
Publisher: Kolej Universiti Kejuruteraan Utara Malaysia
Citation: p.1-6
Series/Report no.: Proceedings of the 1st International Workshop on Artificial Life and Robotics
Abstract: We develop a technique to identify an unknown person in a face image by using template matching and neural network classifier. The technique is separated into three main steps namely; preprocessing, feature extraction and recognition. In the preprocessing step, we process and normalize the input image using approaches proposed by Kawaguchi et al. [1]. We prepare an intensity image of human frontal face and a cut off region consisting of both eyes and eyebrows from the image as a template and a representative feature. Finally, we use the templates as input to the neural network classifier for recognition purposes.
Description: Organized by Kolej Universiti Kejuruteraan Utara Malaysia (KUKUM), 14th - 15th May 2005 at Putra Palace Hotel, Kangar, Perlis.
URI: http://hdl.handle.net/123456789/7152
Appears in Collections:Conference Papers
Mohd. Rizon Mohamed Juhari, Prof. Ir. Dr.

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