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ICDAR
2009
IEEE
15 years 6 months ago
Online Recognition of Multi-Stroke Symbols with Orthogonal Series
We propose an efficient method to recognize multi-stroke handwritten symbols. The method is based on computing the truncated Legendre-Sobolev expansions of the coordinate functio...
Oleg Golubitsky, Stephen M. Watt
ICDAR
2005
IEEE
15 years 5 months ago
Fast Convolutional OCR with the Scanning N-Tuple Grid
This paper introduces a novel high speed convolutional character recognition system. Convolutional mode operation means that no prior localization or segmentation of characters is...
Simon M. Lucas, Kyu Tae Cho
ICDAR
2009
IEEE
14 years 9 months ago
Evaluation of Different Strategies to Optimize an HMM-Based Character Recognition System
Different strategies for combination of complementary features in an HMM-based method for handwritten character recognition are evaluated. In addition, a noise reduction method is...
Murilo Santos, Albert Hung-Ren Ko, Luiz S. Oliveir...
ICDAR
2007
IEEE
15 years 6 months ago
Representing and Characterizing Handwritten Mathematical Symbols through Succinct Functional Approximation
We model on-line ink traces for a set of 219 symbols to “best fit” low-degree polynomial series. Using a collection of mathematical writing samples, we find that in many cas...
Bruce W. Char, Stephen M. Watt
ICDAR
2009
IEEE
14 years 9 months ago
ICDAR 2009 Handwriting Recognition Competition
This paper describes the handwriting recognition competition held at ICDAR 2009. This competition is based on the RIMES-database, with French written text documents. These documen...
Emmanuele Grosicki, Haikal El Abed