Original title:
Classification of Czech sign language alphabet letters using cnn – preliminary study
Authors:
Krejsa, Jiří ; Věchet, Stanislav Document type: Papers Conference/Event: International Conference Engineering Mechanics 2020 /26./, Brno (CZ), 20201124
Year:
2020
Language:
eng Abstract:
Abstract: The paper deals with the classification of Czech sign language single hand alphabet letters from static images using convolutional neural network (CNN). Proposed CNN architecture exhibits about 71% successful rate of classifying the letters signed by the person not included in the training data set.
Keywords:
classification; convolution neural network; sign language Host item entry: ENGINEERING MECHANICS 2020, ISBN 978-80-214-5896-3, ISSN 1805-8248
Institution: Institute of Thermomechanics AS ČR
(web)
Document availability information: Fulltext is available at the institute of the Academy of Sciences. Original record: http://hdl.handle.net/11104/0316611