Enhanced Gesture Recognition Text to Speech Browser for Visually Challenged
M. Rajesh Khanna1, C. Thirumalai Selvan2

1M. Rajesh Khanna*, Information Technology, Veltech Multitech Dr. Rangarajan Dr. Sakunthala Engineering College, Chennai (Tamil Nadu) India.
2C. Thirumalai Selvan, Department of CSE, Sri Indu Institute of Engineering and Technology, Sheriguda, Ibrahimpatnam (Telangana) India.
Manuscript received on November 26, 2019. | Revised Manuscript received on December 15, 2019. | Manuscript published on December 30, 2019. | PP: 1678-1681 | Volume-9 Issue-2, December, 2019. | Retrieval Number:  B3294129219/2019©BEIESP | DOI: 10.35940/ijeat.B3294.129219
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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: Web has understood an astonishing change in human access to learning and information. The need of plotting an upgraded program for the ostensibly tried. The present structure helps the apparently tried people to use the information in the web satisfactorily, by changing over the substance in the site page to voice for their better use. The customer can look through the substance and indispensable information from the web by simply composing the URL. The site page substances are removed by JSOUP HTML parser. The isolated substance will be scrutinized out by Text to Speech (TTS) engine. The weights in this system are the apparently tried need to type URL the required in the change box, there are no contrasting options to control TTS and there are no decisions for investigating through site pages. The proposed structure is to arrange talk affirmation engine.
Keywords: Web Browser for stupor, Content upgrade, Substance to-tal