Recognition of Sign Language Letters Using Image Processing and Deep Learning Methods-Reference-Cited by-同舟云学术

Recognition of Sign Language Letters Using Image Processing and Deep Learning Methods

Published:2021-03-31 Issue: Volume: Page:17-23
ISSN:2651-3927
Container-title:Journal of Intelligent Systems: Theory and Applications
language:
Short-container-title:

Author:

ÖZTÜRK Ali,KARATEKİN Melih,SAYLAR İ̇̇sa Alperen,BARDAKCI Nazım Bahadır

Publisher

Journal of Intelligent Systems: Theory and Applications, Harun TASKIN

Reference10 articles.

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2. [2]- Sandhya, A., Ananya R., 2018. Recognition of sign language using image processing. International Journal of Business Intelligence and Data Mining, 13(1/2/3):163. doi:10.1504/IJBIDM.2018.088428.

3. [3]- Gaikwad, S., Shetty, A., Satam, A., Rathod, M., Shah, P., 2019. Recognition of American Sign Language using image processing and machine learning. International Journal of Computer Science and Mobile Computing, 8(3), 352-357.

4. [4]- Tamura, S., Kawasaki, S., 1988. Recognition of sign language motion images. Pattern Recognition, 21(4), 343-357.

5. [5]- Kumarage, D., Fernando, S., Fernando, P., Madushanka, D., Samarasinghe, R., 2011. Real-time sign language gesture recognition using still-image comparison & motion recognition. 2011 6th International Conference on Industrial and Information Systems, Kandy/Sri Lanka, 10 October 2011, 169-174. Accessed: 10.01.2020

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