A Robust Algorithm for Text String Separation from Mixed Text/Graphics Images
IEEE Transactions on Pattern Analysis and Machine Intelligence
A Hough based algorithm for extracting text lines in handwritten documents
ICDAR '95 Proceedings of the Third International Conference on Document Analysis and Recognition (Volume 2) - Volume 2
Character detection based on multi-scale measurement
ICDAR '95 Proceedings of the Third International Conference on Document Analysis and Recognition (Volume 2) - Volume 2
Text image matching without language model using a Hausdorff distance
Information Processing and Management: an International Journal
Text image spotting using local crowdedness and hausdorff distance
ICADL'06 Proceedings of the 9th international conference on Asian Digital Libraries: achievements, Challenges and Opportunities
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We propose a new method for extracting character strings which have various directions and sizes. In our method, we regard a character string as a rectangular region crowded with short segments. Then two kinds of the segment crowdedness (local segment crowdedness and global segment crowdedness) are introduced to extract the rectallgular regions (i.e. strings). The method was applied to many images which involve strings in various directions and sizes. As a result, almost strings were correctly extracted.