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Reseach Article

Text Detection and Recognition in Camera based Images: A Review

Published on October 2014 by Darshan H Y, M T Gopal Krishna, M C Hanumantharaju
International Conference on Information and Communication Technologies
Foundation of Computer Science USA
ICICT - Number 1
October 2014
Authors: Darshan H Y, M T Gopal Krishna, M C Hanumantharaju
b5d38925-f3d8-4014-802a-490d2f6a6765

Darshan H Y, M T Gopal Krishna, M C Hanumantharaju . Text Detection and Recognition in Camera based Images: A Review. International Conference on Information and Communication Technologies. ICICT, 1 (October 2014), 23-26.

@article{
author = { Darshan H Y, M T Gopal Krishna, M C Hanumantharaju },
title = { Text Detection and Recognition in Camera based Images: A Review },
journal = { International Conference on Information and Communication Technologies },
issue_date = { October 2014 },
volume = { ICICT },
number = { 1 },
month = { October },
year = { 2014 },
issn = 0975-8887,
pages = { 23-26 },
numpages = 4,
url = { /proceedings/icict/number1/17961-1405/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Proceeding Article
%1 International Conference on Information and Communication Technologies
%A Darshan H Y
%A M T Gopal Krishna
%A M C Hanumantharaju
%T Text Detection and Recognition in Camera based Images: A Review
%J International Conference on Information and Communication Technologies
%@ 0975-8887
%V ICICT
%N 1
%P 23-26
%D 2014
%I International Journal of Computer Applications
Abstract

The increase in availability of high performance, low-priced, portable digital imaging devices has created an opportunity for supplementing traditional scanning for document image acquisition. Cameras attached to cellular phones, wearable computers, and standalone image or video devices are highly mobile and easy to use; they can capture images making them much more versatile than desktop scanners. Should gain solutions to the analysis of documents captured with such devices become available, there will clearly be a demand in many domains. Images captured from images can suffer from low resolution, perspective distortion, and blur, as well as a complex layout and interaction of the content and background. In this paper, we present a survey of application domains and technical challenges for the analysis of documents captured by digital cameras. Each method is discussed in brief and then compared against other approaches.

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Index Terms

Computer Science
Information Sciences

Keywords

Document Analysis Processing Camera-based Images Classification.