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Sign language is an indispensable communication means for deaf-mute people because of their hearing impairment. At present, sign language is not popular communications method among hearing people, so that most of the hearing are not willing to have a talk with the deaf-mute, or they must spend much time and energy trying to figure out what the correct meaning is. There has been various research work been done to find a optimal solution to the sign language recognition. This paper reviews one of such works for the sign language recognition using convolutional neural networks.
Keywords:
Sign Language, CNN, Image Processing
Cite Article:
"Review on Sign Language Detection Using Convolutional Neural Networks", International Journal of Science & Engineering Development Research (www.ijrti.org), ISSN:2455-2631, Vol.6, Issue 5, page no.96 - 98, May-2021, Available :http://www.ijrti.org/papers/IJRTI2105021.pdf
Downloads:
000204842
ISSN:
2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator