Logo recognition using Artificial Neural Network (ANN) / Nor Hamidah Abdul Ghafar

Abdul Ghafar, Nor Hamidah (2005) Logo recognition using Artificial Neural Network (ANN) / Nor Hamidah Abdul Ghafar. Student Project. Faculty of Computer and Mathematical Sciences, Shah Alam. (Unpublished)

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Abstract

This project is about logo recognition using Artificial Neural Network (ANN). In order to recognize the logo, a training phase using back propagation technique was implemented. Based on study of existing research, many image and pattern recognition has been done by using Artificial Neural Network and back propagation technique. Logo was scanned or captured trough the Internet. There are five logo and each logo have four different size or fi-om different source. Logo must firstly done process of pre-processing by using MatLab 6.5 in order to normalize the logo to a specific size and for noise removal. In addition, the edge detection for the logo also used MatLab 6.5 to get the logo parameter and transform the logo into binary representation. The binary representation was used for the input node of neural network for back propagation training algorithm. To ensure a good performance of logo recognition prototype, numbers of experiments are done by adjusting the parameters of back propagation training algorithm. Finally, this research found that Artificial Neural Network and back propagation algorithm is suitable for image and pattern recognition.

Item Type: Monograph (Student Project)
Creators:
CreatorsID Num.
Abdul Ghafar, Nor HamidahUNSPECIFIED
Subjects: Q Science > QA Mathematics > Instruments and machines > Electronic computers. Computer science
Q Science > QA Mathematics > Instruments and machines > Electronic computers. Computer science
Divisions: Faculty of Computer and Mathematical Sciences
Item ID: 1766
Last Modified: 14 Nov 2019 04:49
Depositing User: Staf Pendigitalan 1
URI: http://ir.uitm.edu.my/id/eprint/1766

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