A Morphology-Based Methods of Correcting Printed and Handwritten Georgian Text Images

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dc.creatorSekniashvili, Dmitry
dc.date2022-02-03
dc.date.accessioned2023-08-21T08:42:47Z
dc.date.available2023-08-21T08:42:47Z
dc.descriptionThis paper discusses issues of correction of printed and handwritten texts using mathematical morphological methods, word and letter skew correction, segmentation, localization and filtering of gradient backgrounds of images resulting from uneven illumination. Through the use of developed algorithms, we are able to significantly improve the quality of the original image.en-US
dc.formatapplication/pdf
dc.identifierhttps://www.gospodarkainnowacje.pl/index.php/poland/article/view/41
dc.identifier.urihttp://dspace.umsida.ac.id/handle/123456789/18191
dc.languageeng
dc.publisherINNOVATIVE SCIENCE PUBLISHINGen-US
dc.relationhttps://www.gospodarkainnowacje.pl/index.php/poland/article/view/41/38
dc.sourceGospodarka i Innowacje.; Vol. 20 (2022): Gospodarka i Innowacje; 1-6en-US
dc.source2545-0573
dc.subjectMorphologyen-US
dc.subjectMethodsen-US
dc.subjectImagesen-US
dc.titleA Morphology-Based Methods of Correcting Printed and Handwritten Georgian Text Imagesen-US
dc.typeinfo:eu-repo/semantics/article
dc.typeinfo:eu-repo/semantics/publishedVersion
dc.typePeer-reviewed Articleen-US
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