By Topic

An Embedded OCR: A Practical Case Study of Code Porting for a Mobile Platform

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

2 Author(s)
Jaehwa Park ; Dept of Comput. Sci. & Eng., Chung-Ang Univ., Seoul, South Korea ; Young-Bin Kwon

Mobile platforms usually have highly versatile resources. To be a successful interface solution for mobile devices, OCR should have high computational efficiency and adaptation to platform diversity, which are usually trivial in a desktop system, in addition to good recognition rate. In this paper, a practical case study is presented, in which an OCR software is reformed from desktop to embedded version for mobile platforms. To reduce computational burden, all calculations are integerized and math functions are implemented in piecewise linear approximation. An idea of data structure for plug-in template is devised to enhance portability. A complete practical re-coding work has been done. In it a desktop version neural network based OCR is converted into an embedded style. The test results show 60% speed up without sacrificing the correct recognition rate, running on a half sized executable code.

Published in:

Pattern Recognition, 2009. CCPR 2009. Chinese Conference on

Date of Conference:

4-6 Nov. 2009