Logo recognition using Artificial Neural Network (ANN) / Nor Hamidah Abdul Ghafar
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...
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| Format: | Student Project |
| Language: | English |
| Published: |
Faculty of Computer and Mathematical Sciences
2005
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| Online Access: | http://ir.uitm.edu.my/id/eprint/1766/ http://ir.uitm.edu.my/id/eprint/1766/1/PPb_NOR%20HAMIDAH%20ABDUL%20GHAFAR%20CS%2005_5%20P01.pdf |
| Summary: | 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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