Please use this identifier to cite or link to this item: https://doi.org/10.1109/ICPR.1996.547037
Title: A clustering-based approach to the separation of text strings from mixed text/graphics documents
Authors: He, S. 
Abe, N.
Issue Date: 1996
Citation: He, S.,Abe, N. (1996). A clustering-based approach to the separation of text strings from mixed text/graphics documents. Proceedings - International Conference on Pattern Recognition 3 : 706-710. ScholarBank@NUS Repository. https://doi.org/10.1109/ICPR.1996.547037
Abstract: A clustering-based approach to the separation of text from mixed text/graphics documents is presented. The approach starts from the grouping of connected components. Clustering is employed at three critical stages to improve the efficiency and effectiveness of the grouping, i.e., prior to the grouping, prior to orientation estimation, and posterior to the orientation estimation. Because of the high accuracy of the estimated orientation, not only the overgrouping but also most of undergrouping cases could be successfully handled. © 1996 IEEE.
Source Title: Proceedings - International Conference on Pattern Recognition
URI: http://scholarbank.nus.edu.sg/handle/10635/99469
ISBN: 081867282X
ISSN: 10514651
DOI: 10.1109/ICPR.1996.547037
Appears in Collections:Staff Publications

Show full item record
Files in This Item:
There are no files associated with this item.

SCOPUSTM   
Citations

12
checked on Dec 9, 2018

Page view(s)

36
checked on Nov 23, 2018

Google ScholarTM

Check

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.