COMPARATIVE ANALYSIS OF CLASSIFICATION METHODS OF THE DACTYL ALPHABET OF THE KAZAKH LANGUAGE
Amangeldy N. Kudubayeva S. Razakhova B. Assel M. Nazira T.
15 October 2022Little Lion Scientific
Journal of Theoretical and Applied Information Technology
2022#100Issue 195506 - 5513 pp.
Kazakh Sign Language (KSL) is relatively new, and there is still no full-fledged system that can automatically recognize the Kazakh languages dactylic alphabet since Russian letters in the Kazakh alphabet have been identified until today. In order to prove that the Kazakh sign language can exist as a separate sign language, a comparison of the form of the display was carried out in terms of configuration (arm/forearm), place of execution (localization), the direction of movement, nature of movement and component that cannot be performed manually (facial expression and articulation) of Kazakh, Russian, English, Turkish sign languages. As a result of the study, it was proved that the Kazakh sign language can exist as a separate sign language by observing the forms of demonstration of 1050 words in 4 languages. Further, a comparative analysis of classification methods such as support vector machines, ensemble classifiers and nearest neighbor classifiers of dactyl alphabet letters was carried out to identify the optimal method.
Ensemble Classifiers , Hand Shape , Mediapipe Hands , Multiple Classification , Nearest Neighbor Classifiers Pattern , Palm Definition Model , Recognition , Sign Language , Support Vector Machines
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Faculty of Information Technologies, L.N. Gumilyov Eurasian National University, Nur-Sultan, 010008, Kazakhstan
Higher School of Information Technology and Engineering, Astana International University, Nur-Sultan, 010000, Kazakhstan
Faculty of Information Technologies
Higher School of Information Technology and Engineering
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