Review Article
• 2020
INDIAN SIGN LANGUAGE RECOGNITION
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Corresponding Author.
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The aim of this project is to recognize characters in Indian Sign Language(ISL). So much research has been done in the corresponding field of American Sign Language, but the same cannot be said for Indian Sign Language. Lack of standard datasets occluded features, and variation in the language with locality have been the major barriers that have led to little research being done in ISL. we have reported four-fold cross-validated results for the different approaches, and the difference from the previous work done can be attributed to the fact that in our four-fold cross-validation, the validation set corresponds to the images of a person contrasting from the persons in the training set.
Keywords
Convolutional Neural Network (CNN)
Tensorflow
Sign language recognition
Keras
Inception v3 model
Mobilenet.
References
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, UmeshSati, , Hitesh. "INDIAN SIGN LANGUAGE RECOGNITION." Journal of Intelligent Systems and Internet of Things, vol. , no. , 2020, pp. . DOI:
, U., , H. (2020). INDIAN SIGN LANGUAGE RECOGNITION. Journal of Intelligent Systems and Internet of Things, (), . DOI:
, UmeshSati, , Hitesh. "INDIAN SIGN LANGUAGE RECOGNITION." Journal of Intelligent Systems and Internet of Things , no. (2020): . DOI:
, U., , H. (2020) 'INDIAN SIGN LANGUAGE RECOGNITION', Journal of Intelligent Systems and Internet of Things, (), pp. . DOI:
U, H. INDIAN SIGN LANGUAGE RECOGNITION. Journal of Intelligent Systems and Internet of Things. 2020;():. DOI:
U. , H. , "INDIAN SIGN LANGUAGE RECOGNITION," Journal of Intelligent Systems and Internet of Things, vol. , no. , pp. , 2020. DOI:
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