Abstract
How to correct the shape variations of handwritten Chinese characters is very important in off-line handwritten Chinese character recognition. In order to get rid of shape variations and reduce within-category variances directly from handwritten Chinese character image, a new nonlinear shape normalization method is proposed in this paper. In this new method, both of the stroke pixels and the background pixels are assigned with different feature densities. In addition, the feature density is local and two-dimensional. It is more reasonable and more effective than other nonlinear shape normalization methods. Its effectiveness has been demonstrated by our experiments.
supported by China National Natural Science Foundation
This is a preview of subscription content, log in via an institution to check access.
Preview
Unable to display preview. Download preview PDF.
Similar content being viewed by others
References
Yoshiyuki Yamashita et al, “Classification of Handprinted Kanji Characters by the Structured Segment Matching Method”, Pattern Recognition Letters 1 (1983) 475–479
H.Yamada, T.Saito and K.Yamamoto, “Line Density Equalization—A Nonlinear Normalization for Correlation Method”, Trans. IECE, Vol.J67-D, No. 11, pp.1379–1383, 1984
Jun Tsukumo, Haruhiko Tanaka, “Classification of Handprinted Chinese Characters Using Nonlinear Normalization and Correlation Methods”, Proc. of 9th ICPR, Rome, Itlay, Nov. 1988
H.Yamada et al, “A Nonlinear Normalization Method for Handprinted Kanji Character Recognition—Line Density Equalization”, Pattern Recognition, Vol. 23, No.9, 1990
S.W.Lee and J.S.Park, “Nonlinear Shape Normalization Methods for the Recognition of Large-Set Handwritten Characters”, Pattern Recognition, Vol. 27, No.7, pp.895–902, 1994
Dayin Gou, “Research on Subject-Free Handprinted Chinese Character Recognition”, Ph.D. dissertation, Dept. of Electronic Engineering, Tsinghua University, Beijing, May 1995
Dayin Gou, Xiaoqing Ding and Youshou Wu, A Handwritten Chinese Character Recognition Method Based on Image Shape Correction, Proc. of 1st National Conf. on Multimedia and Infomation Networks(CMIN'95), Beijing, Mar.1995, pp.254–259
N.Sun et al, “A Handwritten Character Recognition System by Using Improved Directional Element Feature and Subspace Method”, IEICE Vol. J78-D-II, No.6, pp.922–930, June 1995 *** DIRECT SUPPORT *** A0008188 00007
Author information
Authors and Affiliations
Editor information
Rights and permissions
Copyright information
© 1997 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Chen, Y., Ding, X., Wu, Y., Chen, M. (1997). A new nonlinear shape normalization method for off-line handwritten Chinese character recognition. In: Chin, R., Pong, TC. (eds) Computer Vision — ACCV'98. ACCV 1998. Lecture Notes in Computer Science, vol 1351. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-63930-6_118
Download citation
DOI: https://doi.org/10.1007/3-540-63930-6_118
Published:
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-63930-5
Online ISBN: 978-3-540-69669-8
eBook Packages: Springer Book Archive