Model-Based Shape Recognition Using Recursive Mathematical Morphology
ICPR '98 Proceedings of the 14th International Conference on Pattern Recognition-Volume 1 - Volume 1
Input sensitive thresholding for ancient Hebrew manuscript
Pattern Recognition Letters
Retrieval of chinese calligraphic character image
PCM'04 Proceedings of the 5th Pacific Rim conference on Advances in Multimedia Information Processing - Volume Part I
Content-based retrieval of historical Ottoman documents stored as textual images
IEEE Transactions on Image Processing
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This paper presents a method for automatic extraction of certain pre-specified objects from binary images. The method is applied to letters from historic Hebrew manuscripts and is based on object based erosion transform. The extraction method deals very well with common problems of historical documents, such as broken or merged characters, and can be applied to different writing styles. An average correct extraction rate of 96% is achieved.