Recognitions of the printed English characters using Fractal Dimension.

Abstract<br /> In this research we presented approach for recognize printed English script, in the proposed approach, the technique can be divided into three major steps. The first step is digitization then do some pre-processing like segmentation to obtain the character image and resize it. S...

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Main Author: Hanaa Mahmoud
Format: Article
Language:Arabic
Published: College of Education for Pure Sciences 2008-06-01
Series:مجلة التربية والعلم
Subjects:
Online Access:https://edusj.mosuljournals.com/article_51290_157fd8cab6f45cfd190c424e71593840.pdf
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author Hanaa Mahmoud
author_facet Hanaa Mahmoud
author_sort Hanaa Mahmoud
collection DOAJ
description Abstract<br /> In this research we presented approach for recognize printed English script, in the proposed approach, the technique can be divided into three major steps. The first step is digitization then do some pre-processing like segmentation to obtain the character image and resize it. Second, feature extraction, using Fractal Dimension. Finally, the K-Nearest-Neighbors is used for classification. This method was tested using 20 patterns for each English character. The sample images were divided into 15 training and 5 test images. Images in the test set did not appear in the training sets. This method performs extremely well with recognition rates 85.3%. This is a very good performance. All of this demonstrates that the new method is able to handle printed English character task efficiently. It is a promising technique for recognition printed English character.
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spelling doaj.art-b3d39c1e50a44715abc1eae9e339a02f2022-12-21T18:19:36ZaraCollege of Education for Pure Sciencesمجلة التربية والعلم1812-125X2664-25302008-06-01212788810.33899/edusj.2008.5129051290Recognitions of the printed English characters using Fractal Dimension.Hanaa MahmoudAbstract<br /> In this research we presented approach for recognize printed English script, in the proposed approach, the technique can be divided into three major steps. The first step is digitization then do some pre-processing like segmentation to obtain the character image and resize it. Second, feature extraction, using Fractal Dimension. Finally, the K-Nearest-Neighbors is used for classification. This method was tested using 20 patterns for each English character. The sample images were divided into 15 training and 5 test images. Images in the test set did not appear in the training sets. This method performs extremely well with recognition rates 85.3%. This is a very good performance. All of this demonstrates that the new method is able to handle printed English character task efficiently. It is a promising technique for recognition printed English character.https://edusj.mosuljournals.com/article_51290_157fd8cab6f45cfd190c424e71593840.pdfrecognitionenglish characterfractal dimension
spellingShingle Hanaa Mahmoud
Recognitions of the printed English characters using Fractal Dimension.
مجلة التربية والعلم
recognition
english character
fractal dimension
title Recognitions of the printed English characters using Fractal Dimension.
title_full Recognitions of the printed English characters using Fractal Dimension.
title_fullStr Recognitions of the printed English characters using Fractal Dimension.
title_full_unstemmed Recognitions of the printed English characters using Fractal Dimension.
title_short Recognitions of the printed English characters using Fractal Dimension.
title_sort recognitions of the printed english characters using fractal dimension
topic recognition
english character
fractal dimension
url https://edusj.mosuljournals.com/article_51290_157fd8cab6f45cfd190c424e71593840.pdf
work_keys_str_mv AT hanaamahmoud recognitionsoftheprintedenglishcharactersusingfractaldimension