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A Computer Vision-Based System for Recognition and Classification of Urdu Sign Language Dataset for Differently Abled People Using Artificial Intelligence

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dc.contributor.authorNafees Mansoor
dc.contributor.authorHira Zahid
dc.contributor.authorAbdul Waheed
dc.contributor.authorSidra Abid Syed
dc.contributor.authorShahzad Nasim
dc.contributor.authorMunaf Rashid
dc.contributor.authorMahdi Zareei
dc.contributor.authorSamreen Hussain
dc.contributor.authorAsif Umer
dc.date.accessioned2026-08-31T10:40:31Z
dc.date.issued2023
dc.identifier.urihttps://repository.ulab.edu.bd/handle/123456789/1174
dc.language.isoen
dc.publisherHindawi
dc.subjectUrdu Sign Language
dc.subjectSign language recognition
dc.subjectComputer vision
dc.subjectDeep learning
dc.subjectConvolutional neural network (CNN)
dc.subjectImage processing
dc.subjectDeaf and hard of hearing
dc.subjectAssistive technology
dc.subjectTensorFlow
dc.subjectClassification / Gesture recognition
dc.titleA Computer Vision-Based System for Recognition and Classification of Urdu Sign Language Dataset for Differently Abled People Using Artificial Intelligence
dc.typeArticle

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