Abstract
Devnagari Sign Language (DSL) is used for communication between dump and deaf users. Our Alphabet Devnagari Sign Language Recognizer (α-DSLR) system is used to translate DSL alphabets into Devnagari alphabets along with speech. Devnagari alphabets comprises fourteen vowels ranging from “A” to “A:” and thirty-three consonants ranging from “k” to “&”. Work flow of α-DSLR system emphasizes on sequential phases along with algorithmic approach used in our system. The system works with Single Hand Single Camera approach and applies template based and clustering based algorithms. The detection rate of 97% is accomplished by α-DSLR system against a complex background.
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Pansare, J., Ingle, M. (2018). A Real-Time Devnagari Sign Language Recognizer (α-DSLR) for Devnagari Script. In: Yang, XS., Nagar, A., Joshi, A. (eds) Smart Trends in Systems, Security and Sustainability. Lecture Notes in Networks and Systems, vol 18. Springer, Singapore. https://doi.org/10.1007/978-981-10-6916-1_8
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DOI: https://doi.org/10.1007/978-981-10-6916-1_8
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