Handwriting based on feature extraction of hough transform / Nor Hanim Mokhtar
Handwriting is the expressing of language, just like speech and it also leaves a lasting trace. Some people call handwriting as the „Language by the Hand‟. Besides that, to get similar handwriting is so difficult because everyone have different handwriting. Handwriting can be classified such as marg...
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my-uitm-ir.327002020-07-27T01:57:00Z Handwriting based on feature extraction of hough transform / Nor Hanim Mokhtar 2016-01-29 Nor Hanim, Mokhtar Academies and learned societies (General) Handwriting is the expressing of language, just like speech and it also leaves a lasting trace. Some people call handwriting as the „Language by the Hand‟. Besides that, to get similar handwriting is so difficult because everyone have different handwriting. Handwriting can be classified such as margin, slant, and size of the handwriting. The aim for this project is to extract the structure of handwriting using HT technique. The FEHT application, HT method has been applied due to the no research reported by applying this technique for Malay and English handwriting feature extraction. Besides that, this technique is used to detect the circle and line on handwriting image. This technique has been implementing on the original and rotate image in order to evaluate its performance. From the study, the result shows that the HT technique is not very suitable to be implemented to extract the structure of handwriting. The future work for this project are applying different method of feature extraction to extract the structure of handwriting, analyze HT technique based on noise removal and extend the methodology until the classification and recognition stage. 2016-01 Thesis https://ir.uitm.edu.my/id/eprint/32700/ https://ir.uitm.edu.my/id/eprint/32700/1/32700.pdf text en public degree Universiti Teknologi MARA Cawangan Perak Faculty of Computer and Mathematical Sciences Normah, Mohd Rawi |
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Universiti Teknologi MARA |
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Normah, Mohd Rawi |
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Academies and learned societies (General) |
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Academies and learned societies (General) Nor Hanim, Mokhtar Handwriting based on feature extraction of hough transform / Nor Hanim Mokhtar |
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Handwriting is the expressing of language, just like speech and it also leaves a lasting trace. Some people call handwriting as the „Language by the Hand‟. Besides that, to get similar handwriting is so difficult because everyone have different handwriting. Handwriting can be classified such as margin, slant, and size of the handwriting. The aim for this project is to extract the structure of handwriting using HT technique. The FEHT application, HT method has been applied due to the no research reported by applying this technique for Malay and English handwriting feature extraction. Besides that, this technique is used to detect the circle and line on handwriting image. This technique has been implementing on the original and rotate image in order to evaluate its performance. From the study, the result shows that the HT technique is not very suitable to be implemented to extract the structure of handwriting. The future work for this project are applying different method of feature extraction to extract the structure of handwriting, analyze HT technique based on noise removal and extend the methodology until the classification and recognition stage. |
format |
Thesis |
qualification_level |
Bachelor degree |
author |
Nor Hanim, Mokhtar |
author_facet |
Nor Hanim, Mokhtar |
author_sort |
Nor Hanim, Mokhtar |
title |
Handwriting based on feature extraction of hough transform / Nor Hanim Mokhtar |
title_short |
Handwriting based on feature extraction of hough transform / Nor Hanim Mokhtar |
title_full |
Handwriting based on feature extraction of hough transform / Nor Hanim Mokhtar |
title_fullStr |
Handwriting based on feature extraction of hough transform / Nor Hanim Mokhtar |
title_full_unstemmed |
Handwriting based on feature extraction of hough transform / Nor Hanim Mokhtar |
title_sort |
handwriting based on feature extraction of hough transform / nor hanim mokhtar |
granting_institution |
Universiti Teknologi MARA Cawangan Perak |
granting_department |
Faculty of Computer and Mathematical Sciences |
publishDate |
2016 |
url |
https://ir.uitm.edu.my/id/eprint/32700/1/32700.pdf |
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1783734179689660416 |