Morphology-based text line extraction
Machine Vision and Applications
Extracting Auto-Correlation Feature for License Plate Detection Based on AdaBoost
IDEAL '08 Proceedings of the 9th International Conference on Intelligent Data Engineering and Automated Learning
Scene text detection suitable for parallelizing on multi-core
ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
A spatiotemporal text localization and identification approach for content-based video browsing
Proceedings of the 7th International Conference on Advances in Mobile Computing and Multimedia
Text localization in natural scene images by mean-shift clustering and parallel edge feature
Proceedings of the 5th International Conference on Ubiquitous Information Management and Communication
Maximum-minimum similarity training for text extraction
ICONIP'06 Proceedings of the 13th international conference on Neural information processing - Volume Part III
Text detection in images based on color texture features
ICIC'05 Proceedings of the 2005 international conference on Advances in Intelligent Computing - Volume Part I
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This paper presents a {language-independent) method of locating rectangular text regions in natural scene images. The method consists in two steps that can be applied in succession or independently: the frequency of edge pixels across vertical and horizontal scan lines, and thefundamental frequency in the Fourier domain. The frequency feature of text images is highly intuitive, and thus appealing as much. This is the focus of the research. Also addressed is the detection of rectangles using Rough transform. Since texts that is meaningful to many viewersusually appear in rectangles of colours of high contrast to the background. Hence it is natural to assume the detection rectangles may be helpful for locating desired texts correctly in natural outdoor scene images.