TECHNOLOGIES OF RECOGNITION OF BRAILLE WRITING THROUGH DIGITAL IMAGES

dc.contributor.authorMajidova Gulhayo Abdirazzoq qizi
dc.date.accessioned2025-12-28T10:50:23Z
dc.date.issued2025-10-01
dc.description.abstractThe article examines Braille automatic recognition technologies based on digital images. These technologies play an important role in creating equal access to information for persons with special needs. The study covers the processes of image processing, contour separation, point identification, and their adaptation to Braille characters. The effectiveness of using machine learning algorithms was also discussed. The results allow for the development of solutions that can be applied to education and everyday life in this area.
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dc.identifier.urihttps://usajournals.org/index.php/2/article/view/1059
dc.identifier.urihttps://asianeducationindex.com/handle/123456789/4341
dc.language.isoeng
dc.publisherModern American Journals
dc.relationhttps://usajournals.org/index.php/2/article/view/1059/1131
dc.rightshttps://creativecommons.org/licenses/by/4.0
dc.sourceModern American Journal of Engineering, Technology, and Innovation; Vol. 1 No. 6 (2025); 126-131
dc.source3067-7939
dc.subjectBraille, computer vision, image processing, machine learning, inclusive education.
dc.titleTECHNOLOGIES OF RECOGNITION OF BRAILLE WRITING THROUGH DIGITAL IMAGES
dc.typeinfo:eu-repo/semantics/article
dc.typeinfo:eu-repo/semantics/publishedVersion
dc.typePeer-reviewed Article

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