Handwritten character recognition based on 13-point feature of skeleton and self-organizing competition network

2010 International Conference on Intelligent Computation Technology and Automation, ICICTA 2010

Volumn 2, Issue , 2010, Pages 414-417

  Zhong, Chongliang ^a   Ding, Yalin ^a   Fu, Jinbao ^a  

^a CHANGCHUN INSTITUTE OF OPTICS   (China)

Author keywords

13 point feature of skeleten; ANN; Character recognition; Image processing; Self organizing competition network

Indexed keywords

ANN; CONVENTIONAL METHODS; HAND WRITTEN CHARACTER RECOGNITION; HAND-WRITTEN CHARACTERS; POINT FEATURES; PREPROCESS; SELF ORGANIZING;

COMPETITION; FEATURE EXTRACTION; IMAGE PROCESSING; IMAGING SYSTEMS;

CHARACTER RECOGNITION;

EID: 77955688641     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICICTA.2010.837     Document Type: Conference Paper

References (8)

1. A.J. Faaborg "Using Neural Networks to Create an Adaptive Character Recognition System, " Cornell University, Ithaca NY, May 14, 2002.
2. P.H. Wu, "Handwritten Character Recognition, " B.Eng (Hons) Thesis, the School of Information Technology and Electrical Engineering, the University of Queensland., 2003.
3. C.Y Liou, H.C. Yang, "Hand printed Character Recognition Based on Spatial Topology Distance Measurement, " IEEE Transactions On Pattern Analysis and Machine Intelligence, vol. 18, pp. 941-945, 1996.
4. th International Work-shop on Multiple classifier Systems(MCS'04), pp.174-183, Cagliari, IT, 2004.
5. E.W. Brown, "Applying Neural Networks to Character Recognition, " http://www.ccs.neu.edu/home/feneric/charrecnn.html(Accessed: 2009, October 22th), 1993.
6. Fakhraddin Mamedov, and Jamal Fathi Abu Hasna, "Character Recognition Using Neural Networks, " Near East University, North Cyprus, Turkey via Mersin-10, KKTC.
7. MathWorks, Neural Network Toolbox. 2007.
8. T. Kohonen, "Self-Organization and Associative Memory, ". 2nd Edition, Berlin:Springer-Verlag, 1987.