PASCAL - Pattern Analysis, Statistical Modelling and Computational Learning

Comparing Several Techniques for Offline Recognition of Printed Mathematical Symbols
Francisco Álvaro and Joan Andreu Sánchez
In: ICPR 2010, August 23-26, Istambul, Turkey.

Abstract

Automatic recognition of printed mathematical symbols is a fundamental problem for recognition of mathematical expressions. Several classification techniques has been previously used, but there are very few works that compare different classification techniques on the same database and with the same experimental conditions. In this work we have tested classical and novelty classification techniques for mathematical symbol recognition on two databases

EPrint Type:Conference or Workshop Item (Poster)
Project Keyword:Project Keyword UNSPECIFIED
Subjects:Machine Vision
ID Code:7445
Deposited By:Alfons Juan
Deposited On:17 March 2011