DocumentCode
2503790
Title
Comparing Several Techniques for Offline Recognition of Printed Mathematical Symbols
Author
Álvaro, Francisco ; Sánchez, Joan Andreu
Author_Institution
Inst. Tecnol. de Inf., Univ. Politec. de Valencia, Valencia, Spain
fYear
2010
fDate
23-26 Aug. 2010
Firstpage
1953
Lastpage
1956
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.
Keywords
character recognition; image classification; mathematics computing; visual databases; automatic recognition; mathematical expression recognition; mathematical symbol recognition; offline recognition; printed mathematical symbols; Databases; Hidden Markov models; Kernel; Pattern recognition; Prototypes; Support vector machines; Training; Mathematical symbol classification; hidden Markov models; weighted nearest neighbour;
fLanguage
English
Publisher
ieee
Conference_Titel
Pattern Recognition (ICPR), 2010 20th International Conference on
Conference_Location
Istanbul
ISSN
1051-4651
Print_ISBN
978-1-4244-7542-1
Type
conf
DOI
10.1109/ICPR.2010.481
Filename
5597241
Link To Document