Please use this identifier to cite or link to this item: https://doi.org/10.1109/DAS.2012.6
Title: A new method for arbitrarily-oriented text detection in video
Authors: Sharma, N.
Shivakumara, P. 
Pal, U.
Blumenstein, M.
Tan, C.L. 
Keywords: Angular region growing
Arbitrarily-oriented text detection
Dominant text pixels
Gradient direction
Video text frame
Video text representative
Issue Date: 2012
Source: Sharma, N.,Shivakumara, P.,Pal, U.,Blumenstein, M.,Tan, C.L. (2012). A new method for arbitrarily-oriented text detection in video. Proceedings - 10th IAPR International Workshop on Document Analysis Systems, DAS 2012 : 74-78. ScholarBank@NUS Repository. https://doi.org/10.1109/DAS.2012.6
Abstract: Text detection in video frames plays a vital role in enhancing the performance of information extraction systems because the text in video frames helps in indexing and retrieving video efficiently and accurately. This paper presents a new method for arbitrarily-oriented text detection in video, based on dominant text pixel selection, text representatives and region growing. The method uses gradient pixel direction and magnitude corresponding to Sobel edge pixels of the input frame to obtain dominant text pixels. Edge components in the Sobel edge map corresponding to dominant text pixels are then extracted and we call them text representatives. We eliminate broken segments of each text representatives to get candidate text representatives. Then the perimeter of candidate text representatives grows along the text direction in the Sobel edge map to group the neighboring text components which we call word patches. The word patches are used for finding the direction of text lines and then the word patches are expanded in the same direction in the Sobel edge map to group the neighboring word patches and to restore missing text information. This results in extraction of arbitrarily-oriented text from the video frame. To evaluate the method, we considered arbitrarily-oriented data, non-horizontal data, horizontal data, Hua's data and ICDAR-2003 competition data (Camera images). The experimental results show that the proposed method outperforms the existing method in terms of recall and f-measure. © 2012 IEEE.
Source Title: Proceedings - 10th IAPR International Workshop on Document Analysis Systems, DAS 2012
URI: http://scholarbank.nus.edu.sg/handle/10635/42113
ISBN: 9780769546612
DOI: 10.1109/DAS.2012.6
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