By Topic

Multi-window binarization of camera image for document recognition

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

1 Author(s)
In-Jung Kim ; Inzisoft Co. Ltd., South Korea

This paper proposes an adaptive binarization method for the document image acquired by camera. By applying multiple windows vary in size, it determines the local thresholds with the information from the global trend as well as the local detail. As the consequence, the proposed method is good at not only preserving fine detail of the character structure but also absorbing noise. The effectiveness of the proposed method was shown by the experiment.

Published in:

Frontiers in Handwriting Recognition, 2004. IWFHR-9 2004. Ninth International Workshop on

Date of Conference:

26-29 Oct. 2004