Computer Vision Based Hand Gesture Recognition For Speech Disabled Persons

Authors

  • Manoj Acharya Department of Electronics and Computer Engineering Institute of Engineering, Pulchowk, Lalitpur
  • Dibakar Raj Pant Department of Electronics and Computer Engineering Institute of Engineering, Pulchowk, Lalitpur

DOI:

https://doi.org/10.3126/jie.v11i1.14693

Keywords:

Speech Disabled Persons, Hand gesture

Abstract

This paper proposes a method to recognize static hand gestures in an image or video where a person is performing Nepali Sign Language (NSL) and translate it to words and sentences. The classification is carried out using Neural Network where contour of the hand is used as the feature. The work is verified successfully for NSL recognition using signer dependency analysis. 

Journal of the Institute of Engineering, 2015, 11(1): 30-35

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Published

2016-03-29

How to Cite

Acharya, M., & Pant, D. R. (2016). Computer Vision Based Hand Gesture Recognition For Speech Disabled Persons. Journal of the Institute of Engineering, 11(1), 30–35. https://doi.org/10.3126/jie.v11i1.14693

Issue

Vol. 11 No. 1 (2015)

Section

Articles

License

The Copyright is held by Journal of the Institute of Engineering, IOE, TU