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Vision based Text Recognition using Raspberry Pi

Published on December 2015 by Nagaraja L, Nagarjun R.s, Nishanth M Anand, Nithin D, Veena S Murthy
National Conference on Power Systems and Industrial Automation
Foundation of Computer Science USA
NCPSIA2015 - Number 4
December 2015
Authors: Nagaraja L, Nagarjun R.s, Nishanth M Anand, Nithin D, Veena S Murthy
26da22b9-6ca4-46e0-90ae-90a76cea06bb

Nagaraja L, Nagarjun R.s, Nishanth M Anand, Nithin D, Veena S Murthy . Vision based Text Recognition using Raspberry Pi. National Conference on Power Systems and Industrial Automation. NCPSIA2015, 4 (December 2015), 1-3.

@article{
author = { Nagaraja L, Nagarjun R.s, Nishanth M Anand, Nithin D, Veena S Murthy },
title = { Vision based Text Recognition using Raspberry Pi },
journal = { National Conference on Power Systems and Industrial Automation },
issue_date = { December 2015 },
volume = { NCPSIA2015 },
number = { 4 },
month = { December },
year = { 2015 },
issn = 0975-8887,
pages = { 1-3 },
numpages = 3,
url = { /proceedings/ncpsia2015/number4/23346-7270/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Proceeding Article
%1 National Conference on Power Systems and Industrial Automation
%A Nagaraja L
%A Nagarjun R.s
%A Nishanth M Anand
%A Nithin D
%A Veena S Murthy
%T Vision based Text Recognition using Raspberry Pi
%J National Conference on Power Systems and Industrial Automation
%@ 0975-8887
%V NCPSIA2015
%N 4
%P 1-3
%D 2015
%I International Journal of Computer Applications
Abstract

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. The proposed method is a camera based assistive text reading to help blind person in reading the text present on the text labels, printed notes and products [1]. The proposed project involves Text Extraction from image and converting the Text to Speech converter, a process which makes blind persons to read the text. This is the first step in developing a prototype for blind people for recognizing the products in real world, where the text on product is extracted and converted into speech. This is carried out by using Raspberry pi, where 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 any time.

References
  1. Portable Camera Based Assistive Text and Product Label Reading From Hand-Held Objects For Blind Persons. Chucai Yi, Student Member IEEE, Yingli Tian, Senior Member, IEEE, and Aries Arditi.
  2. Digital Image Processing, 3rd edition, Rafael C Gonzalez, Richard E Woods.
  3. The watershed algorithm is a classic algorithm used for segmentation and is especially https://www. pyimagesearch. com/
  4. Vision Based Assistive System for Label Detection with Voice Output Vasanthi. G and Ramesh Babu. Y Department of ECE, DMI College of Engineering.
  5. Study And Implementation Of Various Morphology Based Image Contrast Enhancement Techniques. SumanThapar, Shevani Garg, CSE department, Ludhiana College of Engineering and Technology, Punjab.
  6. Image Compression Using the Discrete Cosine Transform. Andrew B. Watson, NASA Ames research Center.
  7. Short-term connection problems might affect your updatescode. google. com
Index Terms

Computer Science
Information Sciences

Keywords

Image Acquisition Image Pre-processing Black-hat Transformation Dilation Operation Otsu Thresholding Bounding Boxes Tesseract Ocr Engine Spell Corrector Festival Tts Engine