Smart Eye: A Handheld Device Based Application for Text Detection and Speech Conversion
Jagadish P1, Anand R2, Vijaykumar M V3

1Prof. Jagadish P, Assistant professor, Dept. of Computer Science & Engineering, B.M.S. Institute of Technology, Bangalore, Karnataka, India.
2Prof. Anand R, Assistant professor, Dept. of Computer Science & Engineering, B.M.S. Institute of Technology, Bangalore, Karnataka, India.
3Dr. Chethan A S, Professor and HOD, Dept. of Mathematics, B.M.S. Institute of Technology, Bangalore, Karnataka, India.
Manuscript received on June 19, 2020. | Revised Manuscript received on June 24, 2020. | Manuscript published on July 10, 2020. | PP: 193-195 | Volume-9 Issue-9, July 2020 | Retrieval Number: 100.1/ijitee.F3471049620 | DOI: 10.35940/ijitee.F3471.079920
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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: Natural scene text is broadly observed in our everyday life and has countless imperative multimedia applications. Natural scene text typically show signs of outsized discrepancy in font and languages but endures from low resolution, occlusions and intricate background. An android based application Smart Eye which works in offline mode is proposed here for text detection which robustly perceives the text in natural images in real time and translates the text present in image to speech which can assist people with vision disability. The spoken is also converted to text which can aid people with hearing disability. 
Keywords: Android, Optical Character Recognition, Text to Speech, Android Graphics.
Scope of the Article: Computer Graphics, Simulation, and Modelling