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International Journal of Creative and Open Research in Engineering and Management

A Peer-Reviewed, Open-Access International Journal Supporting Multidisciplinary Research, Digital Publishing Standards, DOI Registration, and Academic Indexing.
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ISSN: 3108-1754 (Online)
Crossref DOI: Available
ISO Certification: 9001:2015
Publication Fee: 599/- INR
Compliance: UGC Journal Norms
License: CC BY 4.0
Peer Review: Double Blind
Volume 02, Issue 04

Published on: April 2026

SIGN LANGUAGE DETECTION USING DEEP LEARNING TECHNIQUES

L. Vivek Y. Srinidhi K. Shashank A. Deekshith

Sarla Devi

Department of CSE (Data Science) ACE Engineering College Hyderabad Telangana India
DOI:https://doi.org/10.55041/ijcope.v2i4.245

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Plagiarism Passed Peer Reviewed Open Access

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Abstract

Communication between hearing-impaired individuals and others remains a major challenge due to the lack of understanding of sign language. The proposed Sign Language Detection System addresses this issue by using deep learning techniques to recognize hand gestures in real time and convert them into both text and speech output. The system uses Convolutional Neural Networks (CNN) implemented with TensorFlow and Keras for accurate gesture classification, while OpenCV is used for image capture and preprocessing through a standard webcam. Unlike traditional methods that rely on handcrafted features or special hardware, this system automatically learns visual patterns from data and provides a complete communication solution by integrating text-to-speech functionality. The system is efficient, cost-effective, and user-friendly, making it suitable for real-world applications and assistive communication.

Keywords: Sign Language Detection, Deep Learning, Convolutional Neural Networks (CNN), Computer Vision, Gesture Recognition, Text-to-Speech, TensorFlow, Keras, OpenCV, Assistive Technology

How to Cite this Paper

Vivek, L., Srinidhi, Y., Shashank, K. & Deekshith, A. (2026). Sign Language Detection Using Deep Learning Techniques. International Journal of Creative and Open Research in Engineering and Management, <i>02</i>(04). https://doi.org/10.55041/ijcope.v2i4.245

Vivek, L., et al.. "Sign Language Detection Using Deep Learning Techniques." International Journal of Creative and Open Research in Engineering and Management, vol. 02, no. 04, 2026, pp. . doi:https://doi.org/10.55041/ijcope.v2i4.245.

Vivek, L.,Y. Srinidhi,K. Shashank, and A. Deekshith. "Sign Language Detection Using Deep Learning Techniques." International Journal of Creative and Open Research in Engineering and Management 02, no. 04 (2026). https://doi.org/https://doi.org/10.55041/ijcope.v2i4.245.

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References


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Ethical Compliance & Review Process

  • •All submissions are screened under plagiarism detection.
  • •Review follows editorial policy.
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  • •Peer Review Type: Double-Blind Peer Review
  • •Published on: Apr 11 2026
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