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Face recognition using neural network

Alfatihah, Abdullah (2010) Face recognition using neural network. Faculty Of Electrical & Electronic Engineering, Universiti Malaysia Pahang.

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Face recognition using neural network - Abstract.pdf - Accepted Version

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Abstract

Facial recognition systems are computer-based security systems that are able to automatically detect and identify human faces. Facial recognition has gained increasing interest in the recent decade. Over the years there have been several techniques being developed to achieve high success rate of accuracy in the identification and verification of individuals for authentication in security systems. This project experiments the concept of neural network for facial recognition that can differentiate and recognize face of image. This face recognition system begins with image pre-processing and then the output image is trained using Backpropagation algorithm. Backpropagation network learns by training the inputs, calculating the error between the real output and target output, and propagates back the error to the network to modify the weights until the desired output is obtained. After training the network, the recognition system is tested to ensure that the system can recognize the pattern of each face image. The purpose of this project is to recognize face of image for the recognition analysis using Neural Network. This project is mainly concern with offline facial recognition systems using purely image processing technique. The system will find database image has a maximum percentage on similarity of the pattern of the image. This project is also to design a pattern recognition system by applying Neural Network Toolbox in MATLAB software.

Item Type: Undergraduates Project Papers
Additional Information: Project paper (Bachelor of Electrical Engineering (Electronics)) -- Universiti Malaysia Pahang - 2010, SV: Mohd Hisyam Bin Mohd Ariff
Uncontrolled Keywords: Biometric identification; Human face recognition (Computer science); Neural networks (Computer science)
Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering
Faculty/Division: Faculty of Electrical & Electronic Engineering
Depositing User: Syed Mohd Faiz
Date Deposited: 06 Jan 2012 03:03
Last Modified: 06 Apr 2017 02:24
URI: http://umpir.ump.edu.my/id/eprint/1977
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