Abstract
Applied Biomimetic Pattern Recognition to replace “differentiation” of characteristic sample by machine “cognition”, a novel method of handwritten Chinese characters recognition is presented. A double weights elliptical neuron is used to cover four basic kinds of handwritten Chinese characters stroke segment. The topological property among the stroke segment neurons is analyzed. Nine style of Chinese characters stroke with fault tolerance are combined. Imitated typing methods of human Chinese characters font code, the style and number of stroke neurons which have redundant fault tolerant shapes are counted. A kind of characteristic knowledge data-base table of handwritten Chinese characters and the sample data-base of standard printed Chinese characters and fault tolerant matching rules are built. Simple and more complex handwritten Chinese characters in SCUT-IRAC database are tested. The method is proved to be close to human fault tolerance and veracity.
Preview
Unable to display preview. Download preview PDF.
Similar content being viewed by others
References
Wang, S.J., Qu, Y.F., Li, W.J., Qin, H.: Face Recognition: Biomimetic Pattern Recognition vs. Traditional Pattern Recognition. Acta Electronica Sinic 32(7), 1057–1061 (2004)
Zhu, X.P., Gu, H.B.: Current Status of Chinese Characters and Words Recognition. Psychological Science 15(1), 40–45 (1992)
Yang, S., Zhang, L.W., Chen, H.M.: Computer Chinese Character Input Code Dictionary, pp. 581–606, 665-673. USTC Press (1995)
Zhao, Y.M., Jiang, X.Z., Shi, P.F.: Algorithm for off-line Handwritten Chinese Character Segmentation Based on Extracting and Knowledge-based Merging of Stroke Bounding Boxes. Infrared and Laser Engineering 31(1), 23–27 (2002)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2006 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Wang, Jp., Li, Wt., Wang, Jl. (2006). Fault Tolerant Recognition Method of Handwritten Chinese Characters Based on Double Weights Elliptical Neuron. In: Huang, DS., Li, K., Irwin, G.W. (eds) Intelligent Computing. ICIC 2006. Lecture Notes in Computer Science, vol 4113. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11816157_42
Download citation
DOI: https://doi.org/10.1007/11816157_42
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-37271-4
Online ISBN: 978-3-540-37273-8
eBook Packages: Computer ScienceComputer Science (R0)