Hand Gesture Method to Speech Conversion using Image Segmentation and Feature Extraction Algorithm | Zendy

D. Nagajyothi | Zendy; M. Srilatha | Zendy; V. K. Jyothi | Zendy

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Hand Gesture Method to Speech Conversion using Image Segmentation and Feature Extraction Algorithm

Author(s) -

D. Nagajyothi,

M. Srilatha,

V. K. Jyothi

Publication year - 2019

Publication title -

international journal of recent technology and engineering (ijrte)

Language(s) - English

Resource type - Journals

ISSN - 2277-3878

DOI - 10.35940/ijrte.d4248.118419

Subject(s) - gesture , computer science , segmentation , gesture recognition , feature (linguistics) , speech recognition , feature extraction , spoken language , artificial intelligence , matlab , computer vision , linguistics , programming language , philosophy

Hand gestures are used by the speech impaired persons to easily communicate with others. Hand gesture is a visual language, different from spoken language but serves as the same purpose of spoken language. Image segmentation and feature extraction algorithms are used to recognize the hand gestures of the deaf people .In this paper the proposed system will not only recognize the hand gestures but it will translate into suitable messages by using skin color segmentation. With the help of speakers speech playback is possible in the MATLAB.

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