Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/22367
Title: Document image template matching based on component block list
Authors: Peng, H
Long, F
Chi, Z 
Siu, WC 
Issue Date: 2001
Source: Pattern recognition letters, 2001, v. 22, no. 9, p. 1033-1042
Abstract: Document image matching is the key technique for document image registration and retrieval. In this paper, a new matching method based on document component block list (CBL) is proposed. A document image is firstly parsed into a number of component blocks that are defined as non-adherent rectangular areas of substantial document contents. Then these blocks are organized as a list, on which several matching operations are defined. The template image that is most similar to the querying document image is selected as the matching result. Our method can effectively make use of the local information of each page component block and the global information of document page layout. We investigate the method with large-scale document template image database. Our method manifests good matching accuracy and good robustness to image distortion, filled-in text, and noises.
Keywords: Document database
Document processing
Image matching
Image registration
Image retrieval
Publisher: Elsevier
Journal: Pattern recognition letters 
ISSN: 0167-8655
EISSN: 1872-7344
DOI: 10.1016/S0167-8655(01)00049-6
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