A Generic System for Form Dropout
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
Text detection, localization, and tracking in compressed video
Image Communication
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 robust video text detection approach using SVM
Expert Systems with Applications: An International Journal
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Information of text in videos and images plays an important role in semantic analysis. In this paper, we propose an effective method for text detection and localization in noisy background. The algorithm is based on corner response. Compared to non-text regions, there often exist dense edges and corners in text regions. So we can get relatively strong responses from text regions and low responses from nontext regions. These responses provide us useful cues for text detection and localization in images. Then using a simple block based threshold scheme, we get candidate regions for text. These regions are further verified by combining other features such as color and size range of connected component. Finally, Text line is located accurately by the projection of corner response. The experimental results show the effectiveness of our methods.