Synopsis
A vision-based hand gesture identification system is developed to recognize the hand shapes from the Indian Sign Language (ISL) – 26 letters A–Z. There are several similar looking gestures in this signage system. Thus, considering these in common, for the system recognizing alphabets, a total of 26 signs are used for identification. The main feature masked hand feature was extracted from the sign images to act as the feature vector using HSV modelling. The system performance for sign recognition is measured by considering these features independently as the feature vector for recognizing the ISL alphabets. The effect of combination of the features such as HSV colour selection and the classification algorithm such as CNN, the system was able to detect the various signage easily. Also, the system performance is measured by extracting the same features by creating skin masking image of the signs of alphabets for ISL alphabets recognition.
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Indian Sign Language Interpreter using Image Processing | DE
Edité par
LAP Lambert Academic Publishing, 2023
ISBN 10 : 620676754X
ISBN 13 : 9786206767541
Neuf
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Taschenbuch. Etat : Neu. Indian Sign Language Interpreter using Image Processing | DE | R. Sakthi Prabha | Taschenbuch | Großformatiges Paperback. Klappenbroschur | Englisch | LAP Lambert Academic Publishing | EAN 9786206767541 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. N° de réf. du vendeur 127659111
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Indian Sign Language Interpreter using Image Processing : DE
Edité par
LAP Lambert Academic Publishing, 2023
ISBN 10 : 620676754X
ISBN 13 : 9786206767541
Neuf
Taschenbuch
Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
Évaluation du vendeur 5 sur 5 étoiles
Taschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - A vision-based hand gesture identification system is developed to recognize the hand shapes from the Indian Sign Language (ISL) - 26 letters A-Z. There are several similar looking gestures in this signage system. Thus, considering these in common, for the system recognizing alphabets, a total of 26 signs are used for identification. The main feature masked hand feature was extracted from the sign images to act as the feature vector using HSV modelling. The system performance for sign recognition is measured by considering these features independently as the feature vector for recognizing the ISL alphabets. The effect of combination of the features such as HSV colour selection and the classification algorithm such as CNN, the system was able to detect the various signage easily. Also, the system performance is measured by extracting the same features by creating skin masking image of the signs of alphabets for ISL alphabets recognition. N° de réf. du vendeur 9786206767541
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EUR 47,30
Expédition à EUR 65
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