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Real-Time Indian Sign Language Detection

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Information and Communication Technology for Competitive Strategies (ICTCS 2022) (ICTCS 2022)

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 623))

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Abstract

Sign Language Recognition is one in all the foremost growing fields of research. The sign language is mainly used for the communication of deaf–dumb people. There has always been a communication gap between normal and deaf or dumb people. Large amount of research has been done on this topic, but no outcome has come that can be commercialized. There is currently no such system available that can help for perfect and complete communication among them. The aim of this paper is to review the Indian Sign Language System and explore different approaches for implementing the system. The input to the system will be real-time hand gestures or sign images. A camera attached to the computer will capture images of the hand in the two detection areas, and the contour feature extraction is used to recognize the hand gesture combinations of the person. Based on these recognized gestures, the relevant text will be displayed on the computer screen. If this project is developed further, Text to Speech Conversion can also be made possible by including the Google Text To Speech (GTTS) module of Python in the SLDS.

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Authors and Affiliations

  1. Department of Computer Science, Vishwakarma Institute of Technology, Pune, India

    Rakhi Bharadwaj, Sandeep Shinde, Shubham Ghaytadkar, Pratham Ghule, Parag Godbole & Mohit Govindwar

Authors
  1. Rakhi Bharadwaj
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  2. Sandeep Shinde
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  3. Shubham Ghaytadkar
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  4. Pratham Ghule
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  5. Parag Godbole
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  6. Mohit Govindwar
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Corresponding author

Correspondence to Rakhi Bharadwaj .

Editor information

Editors and Affiliations

  1. Global Knowledge Research Foundation, Ahmedabad, Gujarat, India

    Amit Joshi

  2. Nottingham Trent University, Nottingham, UK

    Mufti Mahmud

  3. University of Peradeniya, Kandy, Sri Lanka

    Roshan G. Ragel

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© 2023 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

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Bharadwaj, R., Shinde, S., Ghaytadkar, S., Ghule, P., Godbole, P., Govindwar, M. (2023). Real-Time Indian Sign Language Detection. In: Joshi, A., Mahmud, M., Ragel, R.G. (eds) Information and Communication Technology for Competitive Strategies (ICTCS 2022). ICTCS 2022. Lecture Notes in Networks and Systems, vol 623. Springer, Singapore. https://doi.org/10.1007/978-981-19-9638-2_3

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  • DOI: https://doi.org/10.1007/978-981-19-9638-2_3

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-19-9637-5

  • Online ISBN: 978-981-19-9638-2

  • eBook Packages: EngineeringEngineering (R0)

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