On the Recognition of Printed Characters of Any Font and Size
IEEE Transactions on Pattern Analysis and Machine Intelligence
Direct Gray-Scale Extraction of Features for Character Recognition
IEEE Transactions on Pattern Analysis and Machine Intelligence
Structure analysis and recognition of mathematical expressions
ICDAR '95 Proceedings of the Third International Conference on Document Analysis and Recognition (Volume 1) - Volume 1
Detection and Segmentation of Touching Characters in Mathematical Expressions
ICDAR '03 Proceedings of the Seventh International Conference on Document Analysis and Recognition - Volume 1
ICDAR '05 Proceedings of the Eighth International Conference on Document Analysis and Recognition
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Segmentation of touching characters in mathematical formulas needs a different method from the one for text lines, because these characters may occur in horizontal, vertical or diagonal directions. Our segmentation method is based on the projection profiles of a given binary image and minimal points of the blurred image obtained by applying the Gaussian kernel to the original image.