Recognition English Letters Using Invariant Moment in Extracting Properties of Images

In this research, a study of printed English characters properties for Optical Character Recognition is done using the invariant moment method to evaluate the character properties due to it’s resistance against the rotation, scaling and shifting work. In this, also preprocessing the text and recogni...

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Main Author: Hadia Abdullah
Format: Article
Language:Arabic
Published: Mosul University 2005-06-01
Series:Al-Rafidain Journal of Computer Sciences and Mathematics
Subjects:
Online Access:https://csmj.mosuljournals.com/article_164074_2bdf446d00f542489cf5717d891d1fcb.pdf
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author Hadia Abdullah
author_facet Hadia Abdullah
author_sort Hadia Abdullah
collection DOAJ
description In this research, a study of printed English characters properties for Optical Character Recognition is done using the invariant moment method to evaluate the character properties due to it’s resistance against the rotation, scaling and shifting work. In this, also preprocessing the text and recognized it.The image text is segment often  two dissuasion methods are used to measure the distance between the moments of the new characters and the stored moments, this method is the Euclidean distance which gives high recognition factor.Due to the property of independence of the English characters, the evaluation of the seven moment of the printed character is so easy, so we evaluate the moments of English character in a different position and different size for each character by rotating the character from 45° to 360°. As a result, the invariant moment method has high ability for the recognition use, if its adopted in English Optical Character Recognition the recognition rate equals 85%.
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spelling doaj.art-8c258c1e9ba24712aa6e039d95feca2a2022-12-22T03:21:45ZaraMosul UniversityAl-Rafidain Journal of Computer Sciences and Mathematics1815-48162311-79902005-06-0121698210.33899/csmj.2005.164074164074Recognition English Letters Using Invariant Moment in Extracting Properties of ImagesHadia Abdullah0College of Computer Sciences &Mathematics University of Mosul, IraqIn this research, a study of printed English characters properties for Optical Character Recognition is done using the invariant moment method to evaluate the character properties due to it’s resistance against the rotation, scaling and shifting work. In this, also preprocessing the text and recognized it.The image text is segment often  two dissuasion methods are used to measure the distance between the moments of the new characters and the stored moments, this method is the Euclidean distance which gives high recognition factor.Due to the property of independence of the English characters, the evaluation of the seven moment of the printed character is so easy, so we evaluate the moments of English character in a different position and different size for each character by rotating the character from 45° to 360°. As a result, the invariant moment method has high ability for the recognition use, if its adopted in English Optical Character Recognition the recognition rate equals 85%.https://csmj.mosuljournals.com/article_164074_2bdf446d00f542489cf5717d891d1fcb.pdfoptical character recognitioninvariant moment method
spellingShingle Hadia Abdullah
Recognition English Letters Using Invariant Moment in Extracting Properties of Images
Al-Rafidain Journal of Computer Sciences and Mathematics
optical character recognition
invariant moment method
title Recognition English Letters Using Invariant Moment in Extracting Properties of Images
title_full Recognition English Letters Using Invariant Moment in Extracting Properties of Images
title_fullStr Recognition English Letters Using Invariant Moment in Extracting Properties of Images
title_full_unstemmed Recognition English Letters Using Invariant Moment in Extracting Properties of Images
title_short Recognition English Letters Using Invariant Moment in Extracting Properties of Images
title_sort recognition english letters using invariant moment in extracting properties of images
topic optical character recognition
invariant moment method
url https://csmj.mosuljournals.com/article_164074_2bdf446d00f542489cf5717d891d1fcb.pdf
work_keys_str_mv AT hadiaabdullah recognitionenglishlettersusinginvariantmomentinextractingpropertiesofimages