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Articles

Indian sign language recognition using Krawtchouk moment-based local features

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Pages 171-179 | Received 07 May 2016, Accepted 03 Jan 2017, Published online: 18 Apr 2017

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Parminder Kaur & Husanbir Singh Pannu. (2018) Comprehensive review of continuous and discrete orthogonal moments in biometrics. International Journal of Computer Mathematics: Computer Systems Theory 3:2, pages 64-91.
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Nimratveer Kaur Bahia & Rajneesh Rani. (2023) Multi-level Taxonomy Review for Sign Language Recognition: Emphasis on Indian Sign Language. ACM Transactions on Asian and Low-Resource Language Information Processing 22:1, pages 1-39.
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K Amrutha & P Prabu. (2021) A Comparative Study on Indian Sign Language Representation. A Comparative Study on Indian Sign Language Representation.
Albertus C. den Brinker. (2021) Stable Calculation of Krawtchouk Functions from Triplet Relations. Mathematics 9:16, pages 1972.
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R. Dhiman, G. Joshi & C. Rama Krishna. (2021) A deep learning approach for Indian sign language gestures classification with different backgrounds. Journal of Physics: Conference Series 1950:1, pages 012020.
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Garima Joshi, Sukhwinder Singh & Renu Vig. (2020) Taguchi-TOPSIS based HOG parameter selection for complex background sign language recognition. Journal of Visual Communication and Image Representation 71, pages 102834.
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