DocumentCode
1938794
Title
A Hierarchical Algorithm for Document-Images Fast Matching
Author
Tan, Shuang ; Jia, Yan ; Pu, Yiguo ; Fan, Hua ; Wang, Tao
Author_Institution
Comput. Sci., Nat. Univ. of Defense Technol. Changsha, Changsha, China
fYear
2011
fDate
5-7 Aug. 2011
Firstpage
28
Lastpage
33
Abstract
As digital Libraries and document images largely use in the network, how to retrieve them quickly become one of the key issues. This paper presents a hierarchical matching algorithm to achieve fast retrieval of document images. Firstly, we can quickly find the possible matching location through approximate string matching algorithms, and then, use this location as a reference point in the target image, extract sub-block which has the same size as template image and compute the correlation coefficient between sub-block and template image. According to correlation coefficient values, we can accurately know whether the template image´s information exist in the target document, finally, experimental results demonstrate the feasibiLity of the algorithm.
Keywords
correlation methods; digital libraries; document image processing; feature extraction; image matching; image retrieval; string matching; approximate string matching algorithm; correlation coefficient; digital library; document image fast matching; document image retrieval; hierarchical matching algorithm; subblock extraction; target image reference point; template image information; Algorithm design and analysis; Approximation algorithms; Character recognition; Correlation; Image matching; Optical character recognition software; Image Retrieval; approximate string matching; correlation coefficient; document images;
fLanguage
English
Publisher
ieee
Conference_Titel
Digital Manufacturing and Automation (ICDMA), 2011 Second International Conference on
Conference_Location
Zhangjiajie, Hunan
Print_ISBN
978-1-4577-0755-1
Electronic_ISBN
978-0-7695-4455-7
Type
conf
DOI
10.1109/ICDMA.2011.16
Filename
6051845
Link To Document