Aiding manipulation of handwritten mathematical expressions through style-preserving morphs
GRIN'01 No description on Graphics interface 2001
Baseline Estimation For Arabic Handwritten Words
IWFHR '02 Proceedings of the Eighth International Workshop on Frontiers in Handwriting Recognition (IWFHR'02)
ICDAR '07 Proceedings of the Ninth International Conference on Document Analysis and Recognition - Volume 02
Online stroke modeling for handwriting recognition
CASCON '08 Proceedings of the 2008 conference of the center for advanced studies on collaborative research: meeting of minds
Toward affine recognition of handwritten mathematical characters
DAS '10 Proceedings of the 9th IAPR International Workshop on Document Analysis Systems
Distance-based classification of handwritten symbols
International Journal on Document Analysis and Recognition - Special Issue DRR09
Polynomial approximation in handwriting recognition
Proceedings of the 2011 International Workshop on Symbolic-Numeric Computation
Optimization of Point Selection on Digital Ink Curves
ICFHR '12 Proceedings of the 2012 International Conference on Frontiers in Handwriting Recognition
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In a variety of applications, such as handwritten mathematics and diagram labelling, it is common to have symbols of many different sizes in use and for the writing not to follow simple baselines. In order to understand the scale and relative positioning of individual characters, it is necessary to identify the location of certain expected features. These are typically identified by particular points in the symbols, for example, the baseline of a lower case "p" would be identified by the lowest part of the bowl, ignoring the descender. We investigate how to find these special points automatically so they may be used in a number of problems, such as improving two-dimensional mathematical recognition and in handwriting neatening, while preserving the original style.