Proceedings of the 2007 international workshop on Symbolic-numeric computation
International Symposium on Symbolic and Algebraic Computation
ICDAR '07 Proceedings of the Ninth International Conference on Document Analysis and Recognition - Volume 02
Hybrid Mathematical Symbol Recognition Using Support Vector Machines
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
An Empirical Measure on the Set of Symbols Occurring in Engineering Mathematics Texts
DAS '08 Proceedings of the 2008 The Eighth IAPR International Workshop on Document Analysis Systems
Confidence Measures in Recognizing Handwritten Mathematical Symbols
Calculemus '09/MKM '09 Proceedings of the 16th Symposium, 8th International Conference. Held as Part of CICM '09 on Intelligent Computer Mathematics
Online Recognition of Multi-Stroke Symbols with Orthogonal Series
ICDAR '09 Proceedings of the 2009 10th International Conference on Document Analysis and Recognition
Toward affine recognition of handwritten mathematical characters
DAS '10 Proceedings of the 9th IAPR International Workshop on Document Analysis Systems
Improved classification through runoff elections
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
Digital Ink Compression via Functional Approximation
ICFHR '10 Proceedings of the 2010 12th International Conference on Frontiers in Handwriting Recognition
Determining empirical characteristics of mathematical expression use
MKM'05 Proceedings of the 4th international conference on Mathematical Knowledge Management
Determining points on handwritten mathematical symbols
CICM'13 Proceedings of the 2013 international conference on Intelligent Computer Mathematics
| Hi-index | 0.00 |
Considering digital ink traces as plane curves provides a useful framework for handwriting recognition. Characters may be represented as parametric curves approximated by certain truncated orthogonal series, mapping symbols to the low-dimensional vector space of series coefficients. Many useful properties are obtained in this representation, allowing fast recognition based on small training sets. The beauty of this framework is that a single, coherent view leads to highly efficient methods with a high recognition rate. Furthermore, these truncated orthogonal series are subject to all the geometric techniques of symbolic-numeric polynomial algorithms.