Paper
3 April 1997 Document matching on CCITT Group 4 compressed images
Jonathan J. Hull
Author Affiliations +
Proceedings Volume 3027, Document Recognition IV; (1997) https://doi.org/10.1117/12.270061
Event: Electronic Imaging '97, 1997, San Jose, CA, United States
Abstract
A method is proposed for detecting whether tow CCITT group 4 images were scanned from the same document. Features are extracted from rectangular patches of text and compared with a modified Hausdorff distance measure. Two images are said to be 'equivalent' if the Hausdorff measure finds that a specified number of features are located within a given distance of one another in both images. This paper explains the technique and presents experimental results that demonstrate its effectiveness.It is shown that features extracted from a one-inch square patch of image data provide better than 95 percent correct retrieval accuracy with no false positives on a database of 800 documents.
© (1997) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Jonathan J. Hull "Document matching on CCITT Group 4 compressed images", Proc. SPIE 3027, Document Recognition IV, (3 April 1997); https://doi.org/10.1117/12.270061
Lens.org Logo
CITATIONS
Cited by 22 scholarly publications.
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Databases

Feature extraction

Distance measurement

Image compression

Chlorine

Error analysis

Binary data

RELATED CONTENT

Content-based integrity protection of digital images
Proceedings of SPIE (April 09 1999)
Trademark image retrieval
Proceedings of SPIE (September 26 2001)
Color scene recognition using relational distance measurement
Proceedings of SPIE (February 27 1996)

Back to Top