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自动化与信息科学期刊
SJR: 0.232 SNIP: 0.464 CiteScore™: 0.27

ISSN 打印: 1064-2315
ISSN 在线: 2163-9337

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自动化与信息科学期刊

DOI: 10.1615/JAutomatInfScien.v48.i4.80
pages 90-98

Recognition of Dactylemes of Ukrainian Sign Language Based on the Geometric Characteristics of Hand Contours Defects

Yuriy V. Krak
Kiev National Taras Shevchenko University, V.M. Glushkov Institute of Cybernetics of National Academy of Sciences of Ukraine, Kiev
Andrey A. Golik
Kiev National Taras Shevchenko University, Kiev
Veda S. Kasianiuk
Kiev National Taras Shevchenko University, Kiev

ABSTRACT

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.