Indian Sign Language Recognition Using Framework of Skin Color Detection, Viola- Jones Algorithm, Correlation-Coefficient Technique and Distance Based Neuro-Fuzzy Classification Approach

Author:

Bhavsar Hemina,Trivedi Jeegar

Publisher

Springer Singapore

Reference15 articles.

1. Athira, P., Sruthi, C., Lijiya, A.: Signer independent sign language recognition with co-articulation elimination from live videos: an Indian scenario. J. King Saud Univ. Comput. Inf. Sci. 1319–1578 (2019). Production and hosting by Elsevier B.V. on behalf of King Saud University

2. Sawant, S.: Sign language recognition system to aid deaf-dumb people using PCA. Int. J. Comput. Sci. Eng. Technol. (IJCSET), 5(05) (2014). ISSN: 2229–3345

3. Hartanto, R., Susanto, A., Santosa, P.: Real time static hand gesture recognition system prototype for Indonesian sign language. In: 6th International Conference on Information Technology and Electrical Engineering (ICITEE), Yogyakarta, Indonesia, 978-1-4799-5303-5. IEEE (2014)

4. Kim, S., Jang, W., Bien, Z.: A dynamic gesture recognition system for the Korean Sign Language (KSL). IEEE Trans. Syst. Man Cybern. Part B (Cybern.) 26(2), 354–359 (1996)

5. Sarkar, S., Gade, A.: Vision based hand gesture recognition using skin detection and morphological operations. Int. J. Innov. Res. Sci. Eng. Technol. (An ISO 3297: 2007 Certified Organization) 5(3) (2016)

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