This paper is published in Volume-4, Issue-2, 2018
Area
Embedded with Image Processing
Author
S. Muralidharan
Co-authors
D. Venkatesh, J. P. Pritmen, Purushothaman R, S. Jeya Anusuya, V. Saravanaperumal
Org/Univ
T. J. S Engineering College, Puduvoyal, Tamil Nadu, India
Pub. Date
21 March, 2018
Paper ID
V4I2-1320
Publisher
Keywords
Raspberry Pi, Camera based Assistive Text Extraction, OCR (Optical Character Recognition), DIA(Document Image Analysis).

Citationsacebook

IEEE
S. Muralidharan, D. Venkatesh, J. P. Pritmen, Purushothaman R, S. Jeya Anusuya, V. Saravanaperumal. Reading aid for visually impaired people, International Journal of Advance Research, Ideas and Innovations in Technology, www.IJARIIT.com.

APA
S. Muralidharan, D. Venkatesh, J. P. Pritmen, Purushothaman R, S. Jeya Anusuya, V. Saravanaperumal (2018). Reading aid for visually impaired people. International Journal of Advance Research, Ideas and Innovations in Technology, 4(2) www.IJARIIT.com.

MLA
S. Muralidharan, D. Venkatesh, J. P. Pritmen, Purushothaman R, S. Jeya Anusuya, V. Saravanaperumal. "Reading aid for visually impaired people." International Journal of Advance Research, Ideas and Innovations in Technology 4.2 (2018). www.IJARIIT.com.

Abstract

It is known that the technological advancements are increasing at a faster pace. But the utilization of technologies in various sectors is very low. Human communication today is mainly via speech and text. To access information in a text, a person needs to have vision. However, those who are deprived of vision can gather information using their hearing capability. It is known that most of the people find it difficult to detect the text from the paper and books. The proposed method is a camera-based assistive text reading to help a blind person in reading the text present on the text labels, printed notes from paper and books. The proposed project involves Text Extraction from the image and converting the Text to Speech converter, a process which makes blind persons to read the text. This is carried out by using Raspberry pi, where The Pi processes the text images and reads out the content using the speaker. Optical character recognition (OCR) is the identification of printed characters using photoelectric devices and Computer software. To use OCR for pattern recognition to perform Document image analysis (DIA). In this portability is the main aim which is achieved by providing a battery backup and can be implemented as a future technology. The portability allows the user to carry the device anywhere and can use anytime. This enables the use of text to speech conversion.
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