Accessibility Using Human Face, Object and Text Recognition for Visually Impaired People
V. Mareeswari1, Vijayan Ramaraj2, G. Uma Maheswari3, R. Sujatha4, Preethi. E5
1Mareeswari V, Department of Information Technology and Engineering, Vellore Institute of Technology, Vellore (Tamil Nadu), India.
2Vijayan Ramaraj, Department of Information Technology and Engineering, Vellore Institute of Technology, Vellore (Tamil Nadu), India.
3Uma Maheswari G, Department of Information Technology and Engineering, Vellore Institute of Technology, Vellore (Tamil Nadu), India.
4R. Sujatha, Department of Information Technology and Engineering, Vellore Institute of Technology, Vellore (Tamil Nadu), India.
5Preethi E, Department of Information Technology and Engineering, Vellore Institute of Technology, Vellore (Tamil Nadu), India.
Manuscript received on 07 April 2019 | Revised Manuscript received on 20 April 2019 | Manuscript published on 30 April 2019 | PP: 853-858 | Volume-8 Issue-6, April 2019 | Retrieval Number: E3144038519/19©BEIESP
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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: Visually impaired people are one among the extremely strong on this planet since they smell, hear and sense to lead their successful life. They are sufficiently striking with the end goal that they have gone into the field of interest. Additionally, there is a great deal of duty regarding them to lead their day by day happenings with the authorized people, their articles and their documents. As per their enthusiasm for some fields is here where they can ready to practically observe the happenings of the world through the eyeglass. In this world, the numerous blind people and some by accidentally way lost their vision. So as to credit their state of mind this development gives data of the client questioned scenes through a sound stream. This helps blind people to survive like normal people in different environments.
Keyword: Discrete Warier Transform, Discrete Cosine Transform), SURF (Speeded-up Robust Features), OCR (Optical Characteristics Recognition), RFID (Radio Frequency Identification).
Scope of the Article: Pattern Recognition