A Computational Approach to Edge Detection
IEEE Transactions on Pattern Analysis and Machine Intelligence
The nature of statistical learning theory
The nature of statistical learning theory
TextFinder: An Automatic System to Detect and Recognize Text In Images
IEEE Transactions on Pattern Analysis and Machine Intelligence
Automatic location of text in video frames
MULTIMEDIA '01 Proceedings of the 2001 ACM workshops on Multimedia: multimedia information retrieval
Applications of Video-Content Analysis and Retrieval
IEEE MultiMedia
Text Enhancement with Asymmetric Filter for Video OCR
ICIAP '01 Proceedings of the 11th International Conference on Image Analysis and Processing
IEEE Transactions on Pattern Analysis and Machine Intelligence
Machine Printed Text and Handwriting Identification in Noisy Document Images
IEEE Transactions on Pattern Analysis and Machine Intelligence
Fast and robust text detection in images and video frames
Image and Vision Computing
Detecting and reading text in natural scenes
CVPR'04 Proceedings of the 2004 IEEE computer society conference on Computer vision and pattern recognition
Automatic text detection and tracking in digital video
IEEE Transactions on Image Processing
Localizing and segmenting text in images and videos
IEEE Transactions on Circuits and Systems for Video Technology
A comprehensive method for multilingual video text detection, localization, and extraction
IEEE Transactions on Circuits and Systems for Video Technology
A novel approach for captions detection in video sequences
FSKD'09 Proceedings of the 6th international conference on Fuzzy systems and knowledge discovery - Volume 5
A two-stage scheme for text detection in video images
Image and Vision Computing
Localizing slab identification numbers in factory scene images
Expert Systems with Applications: An International Journal
A robust video text detection approach using SVM
Expert Systems with Applications: An International Journal
Scene text detection using graph model built upon maximally stable extremal regions
Pattern Recognition Letters
Transform invariant text extraction
The Visual Computer: International Journal of Computer Graphics
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Most researchers have used edge, intensity, corner, and texture features for text localization in video images. However, these features do not fully coincide with the features of the text, and can not fulfill all the necessary conditions of the text. Therefore, it is very difficult to localize text robustly in video images which have complex backgrounds with strong edge or texture clutter using these features. In this paper, we propose a stroke filter which can detect strokes of texts for robust text localization. By using this stroke filter, we can remove text candidates which have strong edges but are not text. Furthermore, we apply the stroke filter to our text localization system and localize text more robustly in the video images. The effectiveness and efficiency of the proposed method is verified by extensive experiments on a challenging database containing 480 video images.