Sign Language Recognition System
Pooja M.R1, Meghana M2, Praful Koppalkar3, Bopanna M J4, Harshith Bhaskar5, Anusha Hullali6
1Dr. Pooja M R, Associate Professor, Department of Computer Science and Engineering, Vidyavardhaka College of Engineering, Mysuru (Karnataka), India.
2Meghana M, Assistant Professor, Department of Computer Science & Engineering, Vidyavardhaka Colleg of Engineering, Mysuru (Karnataka), India.
3Harshith Bhaskar, UG Student, Department of Computer Science & Engineering Engineering, Vidyavardhaka Colleg of Engineering, Mysuru (Karnataka), India.
4Anusha Hulatti, UG Student, Department of Computer Science & Engineering Engineering, Vidyavardhaka Colleg of Engineering, Mysuru (Karnataka), India.
5Praful Koppalkar, UG Student, Department of Computer Science & Engineering Engineering, Vidyavardhaka Colleg of Engineering, Mysuru (Karnataka), India.
6Bopanna M J, UG Student, Department of Computer Science & Engineering Engineering, Vidyavardhaka Colleg of Engineering, Mysuru (Karnataka), India.
Manuscript received on 22 November 2021 | Revised Manuscript received on 27 December 2021 | Manuscript Accepted on 15 January 2022 | Manuscript published on 30 January 2022 | PP: 1-3 | Volume-2 Issue-1, January 2022 | Retrieval Number: 100.1/ijsepm.C9011011322 | DOI: 10.54105/ijsepm.C9011.011322
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© The Authors. Published by Lattice Science Publication (LSP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: We witness many people who face disabilities like being deaf, dumb, blind etc. They face a lot of challenges and difficulties trying to interact and communicate with others. This paper presents a new technique by providing a virtual solution without making use of any sensors. Histogram Oriented Gradient (HOG) along with Artificial Neural Network (ANN) have been implemented. The user makes use of web camera, which takes input from the user and processes the image of different gestures. The algorithm recognizes the image and identifies the pending voice input. This paper explains two way means of communication between impaired and normal people which implies that the proposed ideology can convert sign language to text and voice.
Keywords: Histogram Oriented Gradient (HOG), Artificial Neural Network (ANN), Confusion matrix.
Scope of the Article: Project Planning and Management