DocumentCode :
3242928
Title :
A Feature-Based Document Image Retrieval Method
Author :
Zhang, Tian
Author_Institution :
Shandong Normal Univ., Jinan
fYear :
2008
fDate :
22-24 Oct. 2008
Firstpage :
1
Lastpage :
5
Abstract :
A document image retrieval method based on the paragraph feature combining up with the relative difference of local pixel distributions and high-dimensional data index structure is developed in the article .First, the definitions of paragraph feature and relative difference of local pixel distributions are given, then the extraction method is described in detail, so is the retrieval method based on the two features. As a global feature, the paragraph feature combined with the relative difference of local pixel distributions, which is a local feature, could describe the document image sufficiently and give a good distinguish. High-dimensional data index structure used in the method could greatly improve the velocity. Based on them, an efficient retrieval method is derived.
Keywords :
data structures; document image processing; feature extraction; image retrieval; data index structure; feature-based document image retrieval; local pixel distributions; paragraph feature; Data mining; Image retrieval; Information retrieval; Optical character recognition software; Pixel; Smoothing methods;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Pattern Recognition, 2008. CCPR '08. Chinese Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4244-2316-3
Type :
conf
DOI :
10.1109/CCPR.2008.76
Filename :
4663029
Link To Document :
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