Publication de 12 numéros par an
ISSN Imprimer: 1064-2315
ISSN En ligne: 2163-9337
Indexed in
Recognition of Dactylemes of Ukrainian Sign Language Based on the Geometric Characteristics of Hand Contours Defects
RÉSUMÉ
In this paper the detailed classification of dactylemes of Ukrainian sign language, approaches to obtaining effective attribute vectors based on the geometrical characteristics of dactylemes, recognition algorithm based on narrowing the set of possible solutions are considered. The results of testing of the implemented system of recognition of the dactylemes of the Ukrainian sign language are presented.
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Krak Iu., Computer Technologies for Gestures Communication Systems Construction, in Computational and Information Technologies in Science, Engineering and Education, 998, 2019. Crossref
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Krak Iu. V., Kasianiuk V. S., Kudin H. I., Barmak O. V., Manziuk E. A., Multivariate Scaling of the Characteristic Features Based on Pseudo-Inverse Operations for Recognition Problems Solving, Pattern Recognition and Image Analysis, 30, 2, 2020. Crossref
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Kondratiuk Serhii, Krak Iurii, Kylias Anatolii, Kasianiuk Veda, Fingerspelling Alphabet Recognition Using CNNs with 3D Convolutions for Cross Platform Applications, in Lecture Notes in Computational Intelligence and Decision Making, 1246, 2021. Crossref
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Krak Iurii V., Kudin Hrygorii I., Barmak Olexander V., Manziuk Eduard O., Smolarz Andrzej, Mamyrbaev Orken, Romaniuk Ryszard S., Linczuk Maciej, Method and algorithm of the piecewise-hyperplane clusterization using tools of pseudo-inverse matrices , Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments 2019 , 2019. Crossref