ENHANCING THE PERFORMANCE OF SIGN LANGUAGE RECOGNITION USING CNN AND RNN CLASSIFIER
نویسندگان
چکیده
Sign language gave hope to deaf and dumb people communicate with others. Although there is a significant development in sign language, recognition systems are created increase efficiency recognition. Our technology was aid communication for individuals suffering from hearing visibility issues. We have it using CNN (Convolutional neural network) RNN (Recurrent network). After pre-processing the images, images used dataset containing 25 English alphabets. built trained dataset. training model we predicted accuracy. To accuracy enhanced RNN. The best obtained 88.8% Keywords- Convolutional network, Recurrent network
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ژورنال
عنوان ژورنال: Indian Scientific Journal Of Research In Engineering And Management
سال: 2023
ISSN: ['2582-3930']
DOI: https://doi.org/10.55041/ijsrem18598