Image-based form document retrieval

Authors
Citation
Jh. Liu et Ak. Jain, Image-based form document retrieval, PATT RECOG, 33(3), 2000, pp. 503-513
Citations number
16
Categorie Soggetti
AI Robotics and Automatic Control
Journal title
PATTERN RECOGNITION
ISSN journal
00313203 → ACNP
Volume
33
Issue
3
Year of publication
2000
Pages
503 - 513
Database
ISI
SICI code
0031-3203(200003)33:3<503:IFDR>2.0.ZU;2-2
Abstract
We address the problem of image-based form document retrieval. The essentia l element of this problem is the definition of a similarity measure that is applicable in real situations. where query images are allowed to differ fr om the database images. Based on the definition of form signature, we have proposed a similarity measure that is insensitive to translation, scaling, moderate skew (<5 degrees) and variations in the geometrical proportion of the form layout. This similarity measure also has a good tolerance to line detection errors. We have developed a prototype form retrieval system based on the proposed similarity measure. Preliminary experimental results on a database containing 100 different kinds of forms are encouraging. (C) 2000 Pattern Recognition Society. Published by Elsevier Science Ltd. All rights reserved.