Hand Gesture Method to Speech Conversion using Image Segmentation and Feature Extraction Algorithm
D. Nagajyothi1, M. Srilatha2, V. Jyothi3
1D. Nagajyothi*, Electronics and communication Engineering, Vardhaman College of Engineering, Hyderabad, India.
2M. Srilatha, Electronics and communication Engineering, Vardhaman College of Engineering, Hyderabad, India.
3V. Jyothi, Electronics and communication Engineering, Vardhaman College of Engineering, Hyderabad, India.
Manuscript received on November 11, 2019. | Revised Manuscript received on November 20 2019. | Manuscript published on 30 November, 2019. | PP: 11489-11491 | Volume-8 Issue-4, November 2019. | Retrieval Number: D4248118419/2019©BEIESP | DOI: 10.35940/ijrte.D4248.118419
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: 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.
Keywords: Hand Gesture Recognition, Skin Color Segmentation, Speech Playback.
Scope of the Article: Pattern Recognition.