Please use this identifier to cite or link to this item: http://scholarbank.nus.edu.sg/handle/10635/41045
Title: Efficient video text detection using edge features
Authors: Shivakumara, P. 
Huang, W. 
Tan, C.L. 
Issue Date: 2008
Source: Shivakumara, P.,Huang, W.,Tan, C.L. (2008). Efficient video text detection using edge features. Proceedings - International Conference on Pattern Recognition. ScholarBank@NUS Repository.
Abstract: In this paper, we explore new edge features such as straightness for the elimination of non significant edges from the segmented text portion of a video frame to detect accurate boundary of the text lines in video images. To segment the complete text portions, the method introduces candidate text block selection from a given image. Heuristic rules are formed based on combination of filters and edge analysis for identifying a candidate text block in the image. Furthermore, the same rules are extended to grow boundary of candidate text block in order to segment complete text portions in the image. The experimental results of the proposed method show that the method outperforms an existing method in terms of a number of metrics. © 2008 IEEE.
Source Title: Proceedings - International Conference on Pattern Recognition
URI: http://scholarbank.nus.edu.sg/handle/10635/41045
ISBN: 9781424421756
ISSN: 10514651
Appears in Collections:Staff Publications

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

Page view(s)

46
checked on Dec 9, 2017

Google ScholarTM

Check


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