Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/9878
Title: Document image recognition based on template matching of component block projections
Authors: Peng, H
Long, F
Chi, Z 
Keywords: Component block projection
Document image recognition
Template matching
Issue Date: 2003
Publisher: Institute of Electrical and Electronics Engineers
Source: IEEE transactions on pattern analysis and machine intelligence, 2003, v. 25, no. 9, p. 1188-1192 How to cite?
Journal: IEEE transactions on pattern analysis and machine intelligence 
Abstract: Document Image Recognition (DIR), a very useful technique in office automation and digital library applications, is to find the most similar template for any input document image in a prestored template document image data set. Existing methods use both local features and global layout information. In this paper, we propose a novel algorithm based on the global matching of Component Block Projections (CBP), which are the concatenated directional projection vectors of the component blocks of a document image. Compared to those existing methods, CBP-based template-matching methods possess two major advantages: 1) The spatial relationship among the component blocks of a document image is better represented, hence a very high matching accuracy can be obtained even for a large template set and seriously distorted input images; and 2) the effective matching distance of each template and the triangle inequality are proposed to significantly reduce the computational cost. Our experimental results confirm these advantages and show that the CBP-based template-matching methods are very suitable for DIR applications.
URI: http://hdl.handle.net/10397/9878
ISSN: 0162-8828
EISSN: 1939-3539
DOI: 10.1109/TPAMI.2003.1227996
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