A Computational Approach to Edge Detection
IEEE Transactions on Pattern Analysis and Machine Intelligence
Video OCR: indexing digital new libraries by recognition of superimposed captions
Multimedia Systems - Special section on video libraries
Character Segmentation of Color Images from Digital Camera
ICDAR '01 Proceedings of the Sixth International Conference on Document Analysis and Recognition
Text Enhancement with Asymmetric Filter for Video OCR
ICIAP '01 Proceedings of the 11th International Conference on Image Analysis and Processing
Extraction and recognition of artificial text in multimedia documents
Pattern Analysis & Applications
A hybrid text segmentation approach
ICME'09 Proceedings of the 2009 IEEE international conference on Multimedia and Expo
Scene text detection suitable for parallelizing on multi-core
ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
Extracting captions from videos using temporal feature
Proceedings of the international conference on Multimedia
Context-based indoor object detection as an aid to blind persons accessing unfamiliar environments
Proceedings of the international conference on Multimedia
Text locating in scene images for reading and navigation aids for visually impaired persons
Proceedings of the 12th international ACM SIGACCESS conference on Computers and accessibility
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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.