Table of Contents
ISRN Machine Vision
Volume 2012 (2012), Article ID 253863, 16 pages
http://dx.doi.org/10.5402/2012/253863
Research Article

Practical Recognition System for Text Printed on Clear Reflected Material

1Ingram School of Engineering, Texas State University-San Marcos, 601 University Drive, San Marcos, TX 78666-4684, USA
2Electrical and Computer Engineering, University of Texas at San Antonio, One UTSA Circle, San Antonio, TX 78249, USA

Received 19 May 2012; Accepted 30 July 2012

Academic Editors: A. Gasteratos, D. Hernandez, and A. Prati

Copyright © 2012 Khader Mohammad and Sos Agaian. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

Text embedded in an image contains useful information for applications in the medical, industrial, commercial, and research fields. While many systems have been designed to correctly identify text in images, no work addressing the recognition of degraded text on clear plastic has been found. This paper posits novel methods and an apparatus for extracting text from an image with the practical assumption: (a) poor background contrast, (b) white, curved, and/or differing fonts or character width between sets of images, (c) dotted text printed on curved reflective material, and/or (d) touching characters. Methods were evaluated using a total of 100 unique test images containing a variety of texts captured from water bottles. These tests averaged a processing time of ~10 seconds (using MATLAB R2008A on an HP 8510 W with 4 G of RAM and 2.3 GHz of processor speed), and experimental results yielded an average recognition rate of 90 to 93% using customized systems generated by the proposed development.