Text segmentation based on stroke filter

Most existing methods of text segmentation in video images are not robust because they do not consider the intrinsic characteristics of text. In this paper, we propose a novel method of text segmentation based on stroke filter (SF). First, we give the definition of text, which is realized in the form of stroke filter based on local region analysis. Based on stroke filter response, text polarity determination and local region growing modules are performed successively. The effectiveness of our method is validated by experiments on a challenging database.

[1]  N. Otsu.  A threshold selection method from gray level histograms , 1979 .

[2]  John F. Canny,et al.  A Computational Approach to Edge Detection , 1986, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[3]  Rainer Lienhart,et al.  Automatic text recognition in digital videos , 1995, Electronic Imaging.

[4]  Ellen K. Hughes,et al.  Video OCR for digital news archive , 1998, Proceedings 1998 IEEE International Workshop on Content-Based Access of Image and Video Database.

[5]  Jean-Francois Mangin,et al.  Detection of linear features in SAR images: application to road network extraction , 1998, IEEE Trans. Geosci. Remote. Sens..

[6]  Takeo Kanade,et al.  Video OCR: indexing digital news libraries by recognition of superimposed captions , 1999, Multimedia Systems.

[7]  Wenwen Li,et al.  Character segmentation of color images from digital camera , 2001, Proceedings of Sixth International Conference on Document Analysis and Recognition.

[8]  Datong Chen,et al.  Text enhancement with asymmetric filter for video OCR , 2001, Proceedings 11th International Conference on Image Analysis and Processing.

[9]  Rainer Lienhart,et al.  An extended set of Haar-like features for rapid object detection , 2002, Proceedings. International Conference on Image Processing.

[10]  Jean-Michel Jolion,et al.  Extraction and recognition of artificial text in multimedia documents , 2003, Formal Pattern Analysis & Applications.

[11]  Michael R. Lyu,et al.  A robust statistic method for classifying color polarity of video text , 2003, 2003 IEEE International Conference on Acoustics, Speech, and Signal Processing, 2003. Proceedings. (ICASSP '03)..

[12]  Jean-Marc Odobez,et al.  Text detection, recognition in images and video frames , 2004, Pattern Recognit..

[13]  Fu Chang,et al.  Caption analysis and recognition for building video indexing systems , 2004, Multimedia Systems.

[14]  Anil K. Jain,et al.  Text information extraction in images and video: a survey , 2004, Pattern Recognit..

[15]  Masatoshi Kimachi,et al.  Using Adaboost to Detect and Segment Characters from Natural Scenes , 2005 .

[16]  D. Luce,et al.  Detection and Recognition " ' , 2006 .