Paper Title

REAL-TIME HAND GESTURE RECOGNITION FOR SIGN LANGUAGE INTERPRETATION AND TEXT GENERATION

Article Identifiers

Registration ID: IJNRD_192820

Published ID: IJNRD2304628

DOI: Click Here to Get

Authors

Prince Sindhu , Anshika Sahai , Kavya Tewari , Pragya Verma , Prof(Dr) Shailendra Narayan Singh

Keywords

Computer Vision, Conventional Neural Network (CNN), Artificial Neural Network (ANN), Machine Learning, Gesture Recognition, Sign Language Recognition, Hue Saturation Value Algorithm (HSV)

Abstract

Effective communication with individuals who have hearing loss can be challenging, but sign language has emerged as a successful solution for those with hearing and speech disabilities. Sign language facilitates integration between individuals with disabilities and those without. However, it can be difficult for those who do not know sign language or understand it in a foreign language to interpret the hand gestures accurately. Fortunately, recent advancements in technology have provided new solutions to bridge this communication gap. A new study focuses on using a web camera to capture hand gestures, which are then identified by the system and displayed as an image name. The system uses the HSV color algorithm to detect hand motions and various computer vision methods to process the images. The area of interest, such as the hand motion, is then separated and analyzed using binary pixels. The system employs Convolutional Neural Networks (CNN) to classify the images, resulting in a high level of accuracy of over 95 percent.

How To Cite (APA)

Prince Sindhu, Anshika Sahai, Kavya Tewari, Pragya Verma, & Prof(Dr) Shailendra Narayan Singh (April-2023). REAL-TIME HAND GESTURE RECOGNITION FOR SIGN LANGUAGE INTERPRETATION AND TEXT GENERATION. INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT, 8(4), g223-g227. https://ijnrd.org/papers/IJNRD2304628.pdf

Issue

Volume 8 Issue 4, April-2023

Pages : g223-g227

Other Publication Details

Paper Reg. ID: IJNRD_192820

Published Paper Id: IJNRD2304628

Downloads: 000121983

Research Area: Computer Science & Technology 

Country: Noida, Uttar Pradesh, India

Published Paper PDF: https://ijnrd.org/papers/IJNRD2304628.pdf

Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2304628

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Journal Name: INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT(IJNRD)

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Call For Paper - Volume 10 | Issue 10 | October 2025

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Paper Submission Open For: October 2025

Current Issue: Volume 10 | Issue 10 | October 2025

Impact Factor: 8.76

Last Date for Paper Submission: Till 31-Oct-2025

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