Inscrição na biblioteca: Guest
Portal Digital Begell Biblioteca digital da Begell eBooks Diários Referências e Anais Coleções de pesquisa
Telecommunications and Radio Engineering
SJR: 0.202 SNIP: 0.2 CiteScore™: 0.23

ISSN Imprimir: 0040-2508
ISSN On-line: 1943-6009

Volumes:
Volume 78, 2019 Volume 77, 2018 Volume 76, 2017 Volume 75, 2016 Volume 74, 2015 Volume 73, 2014 Volume 72, 2013 Volume 71, 2012 Volume 70, 2011 Volume 69, 2010 Volume 68, 2009 Volume 67, 2008 Volume 66, 2007 Volume 65, 2006 Volume 64, 2005 Volume 63, 2005 Volume 62, 2004 Volume 61, 2004 Volume 60, 2003 Volume 59, 2003 Volume 58, 2002 Volume 57, 2002 Volume 56, 2001 Volume 55, 2001 Volume 54, 2000 Volume 53, 1999 Volume 52, 1998 Volume 51, 1997

Telecommunications and Radio Engineering

DOI: 10.1615/TelecomRadEng.v64.i11.50
pages 923-929

Detection of Closure Features in Gray-Level Images by Using Support Vector Machines

Mario A. Ibarra-Manzano
University of Guanajuato. Facultad de Ingenieria Mecánica, Eléctrica y Electronica.Av. Tampico No. 912. Salamanca, Guanajuato, 36730, México
J. Gabriel Avina-Cervantes
University of Guanajuato. Facultad de Ingenieria Mecánica, Eléctrica y Electronica.Av. Tampico No. 912. Salamanca, Guanajuato, 36730, México
Dora L. Almanza-Ojeda
University of Guanajuato. Facultad de Ingenieria Mecánica, Eléctrica y Electronica.Av. Tampico No. 912. Salamanca, Guanajuato, 36730, México
Jose Ruiz-Pinales
University of Guanajuato/FIMEE, 36730 Salamanca, Gto. Mexico

RESUMO

This paper describes an optimal architecture to detect closure features in gray-level images by using Support Vector Machines. This scheme has been extensively tested to recognize some handwriting discriminant features as loops, closure, etc. Closure feature extraction is represented by spatial relation between each tested point and its neighbors. Database for all closure and non-closure features is built. The database allows us to train the SVM with a Gaussian kernel. The proposed method is a fast way to detect handwriting features and it has been extensively tested in the context of closure detected with very reliable results.


Articles with similar content:

Discriminative Capacity of Perceptual Features in Handwriting Recognition
Telecommunications and Radio Engineering, Vol.64, 2005, issue 7-12
Rene Jaime-Rivas, Jose Ruiz-Pinales, Maria Jose Castro
INTERMODE SCATTERING AS A SOURCE OF QUANTUM CHAOS IN A MICROWAVE RESONATOR SUBJECTED TO SINGULAR PERTURBATION
Telecommunications and Radio Engineering, Vol.73, 2014, issue 8
Ye. M. Ganapolsky, Yu. V. Tarasov
MEASUREMENTS OF CROSS SECTIONAL PHASE DISTRIBUTION IN DOWNWARD INCLINED GAS-LIQUID PIPE FLOW
International Heat Transfer Conference 13, Vol.0, 2006, issue
E. Trostinetsky, Lev Shemer, Dvora Barnea
Conditions of Equivalence of Recursive Algorithms of Adaptive Filtration by the Least Squares Criterion
Telecommunications and Radio Engineering, Vol.67, 2008, issue 7
V. I. Dzhigan
Extraction of Rate Equation Parameters for Quantum Well Laser Diodes Using DC and Small Signal Measurements
Telecommunications and Radio Engineering, Vol.53, 1999, issue 7-8
W. Freude, V. V. Lysak, M. Krieg