Please use this identifier to cite or link to this item:
Title: A gradient vector flow-based method for video character segmentation
Authors: Phan, T.Q. 
Shivakumara, P. 
Su, B.
Tan, C.L. 
Keywords: Curved segmentation path
Gradient vector flow
Minimum cost path finding
Video character segmentation
Issue Date: 2011
Citation: Phan, T.Q., Shivakumara, P., Su, B., Tan, C.L. (2011). A gradient vector flow-based method for video character segmentation. Proceedings of the International Conference on Document Analysis and Recognition, ICDAR : 1024-1028. ScholarBank@NUS Repository.
Abstract: In this paper, we propose a method based on gradient vector flow for video character segmentation. By formulating character segmentation as a minimum cost path finding problem, the proposed method allows curved segmentation paths and thus it is able to segment overlapping characters and touching characters due to low contrast and complex background. Gradient vector flow is used in a new way to identify candidate cut pixels. A two-pass path finding algorithm is then applied where the forward direction helps to locate potential cuts and the backward direction serves to remove the false cuts, i.e. those that go through the characters, while retaining the true cuts. Experimental results show that the proposed method outperforms an existing method on multi-oriented English and Chinese video text lines. The proposed method also helps to improve binarization results, which lead to a better character recognition rate. © 2011 IEEE.
Source Title: Proceedings of the International Conference on Document Analysis and Recognition, ICDAR
ISBN: 9780769545202
ISSN: 15205363
DOI: 10.1109/ICDAR.2011.207
Appears in Collections:Staff Publications

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


checked on Mar 27, 2020


checked on Mar 19, 2020

Page view(s)

checked on Mar 22, 2020

Google ScholarTM



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