CLASSIFICATION OF CZECH SIGN LANGUAGE ALPHABET LETTERS USING CNN – PRELIMINARY STUDY
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.