Cart (Loading....) | Create Account
Close category search window
 

Financial document image coding with regions of interest using JPEG2000

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

3 Author(s)

Document image coding is a very important issue in document analysis and recognition systems provided with vast samples. An image compression algorithm with regions of interest (ROIs) using JPEG2000 is proposed for financial document images which have various categories, complex layouts, and irregular noises. Three types of ROIs: filled information ROIs, seal ROIs, and handwriting ROIs, are detected and extracted through document knowledge analysis and handwriting identification. The first ROIs are detected by document classification, the second are extracted by connected component analysis based on color and shape information, and the third are located by handwriting identification using an incremental Fisher linear discriminant classifier. A ROI mask with a random shape is constructed by thresholding and merging these ROIs. Finally, a financial document image is encoded using JPEG2000 Part I with this ROI mask. Compared to JPEG and DjVu, the method improves visual quality while decreasing storing space.

Published in:

Document Analysis and Recognition, 2005. Proceedings. Eighth International Conference on

Date of Conference:

29 Aug.-1 Sept. 2005

Need Help?


IEEE Advancing Technology for Humanity About IEEE Xplore | Contact | Help | Terms of Use | Nondiscrimination Policy | Site Map | Privacy & Opting Out of Cookies

A not-for-profit organization, IEEE is the world's largest professional association for the advancement of technology.
© Copyright 2014 IEEE - All rights reserved. Use of this web site signifies your agreement to the terms and conditions.