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 [Student Project] (Unpublished)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.

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Item Type: Student Project
Creators:
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Abdul Ghafar, Nor Hamidah
UNSPECIFIED
Subjects: Q Science > QA Mathematics > Instruments and machines > Electronic Computers. Computer Science
Divisions: Universiti Teknologi MARA, Shah Alam > Faculty of Computer and Mathematical Sciences
Item ID: 1766
URI: https://ir.uitm.edu.my/id/eprint/1766

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