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...

Deskribapen osoa

Xehetasun bibliografikoak
Egile nagusia: Nor Hanim, Mokhtar
Formatua: Thesis
Hizkuntza:English
Argitaratua: 2016
Gaiak:
Sarrera elektronikoa:https://ir.uitm.edu.my/id/eprint/32700/1/32700.pdf
_version_ 1825737618777702400
author Nor Hanim, Mokhtar
author_facet Nor Hanim, Mokhtar
author_sort Nor Hanim, Mokhtar
collection UITM
description 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.
first_indexed 2024-03-06T02:20:58Z
format Thesis
id oai:ir.uitm.edu.my:32700
institution Universiti Teknologi MARA
language English
last_indexed 2024-03-06T02:20:58Z
publishDate 2016
record_format dspace
spelling oai:ir.uitm.edu.my:327002020-07-27T01:57:00Z https://ir.uitm.edu.my/id/eprint/32700/ Handwriting based on feature extraction of hough transform / Nor Hanim Mokhtar 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. 2016-01-29 Thesis NonPeerReviewed text en https://ir.uitm.edu.my/id/eprint/32700/1/32700.pdf Handwriting based on feature extraction of hough transform / Nor Hanim Mokhtar. (2016) Degree thesis, thesis, Universiti Teknologi MARA Cawangan Perak. <http://terminalib.uitm.edu.my/32700.pdf>
spellingShingle Academies and learned societies (General)
Nor Hanim, Mokhtar
Handwriting based on feature extraction of hough transform / Nor Hanim Mokhtar
title 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_short Handwriting based on feature extraction of hough transform / Nor Hanim Mokhtar
title_sort handwriting based on feature extraction of hough transform nor hanim mokhtar
topic Academies and learned societies (General)
url https://ir.uitm.edu.my/id/eprint/32700/1/32700.pdf
work_keys_str_mv AT norhanimmokhtar handwritingbasedonfeatureextractionofhoughtransformnorhanimmokhtar