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基于数学形态学的手写体汉字细化方法研究 被引量:1

Research of handwritten Chinese character refinement based on mathematical morphology method
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摘要 提出了一种基于数学形态学的细化方法,该方法使用结构模板的方式对字符图像进行细化,并针对原有细化方法产生的细化不彻底现象,对原结构模板进行了改进。在常用细化结构模板的基础上,新增了几个结构模板,较好地解决了细化不彻底的现象。实验证明,细化后的图像保持了原图像的连通性并达到了很好的细化效果。 This article proposed a refinement method based on the nmthematical morphology, which used the structure templale to thin the character image. For the phenomenon of the original structure template thinned the character incomplete, the paper im- proved the original structure template. Based on the common structure template, this paper increased several new structure lemplate, and better solution the phenomenon of refine incomplete. The experiment showed that the refined image used this method mainlained the original image connectivity and achieved a good result.
出处 《微型机与应用》 2011年第20期74-76,共3页 Microcomputer & Its Applications
关键词 手写体汉字特征 字符细化 数学形态学 handwritten Chinese character feature detailed mathematical morphology
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  • 1G.J.Molina,Y.M.Haddad.ON THE IDENTIFICATION OF RESIDUAL IMPACT PROPERTIES OF MATERIALS BY ACOUSTO-ULTRASONICS——A PATTERN RECOGNITION APPROACH[J].Acta Mechanica Sinica,1995,11(1):34-43. 被引量:2
  • 2包建军,樊菁.鲁棒的二值图像并行细化算法[J].计算机辅助工程,2006,15(4):43-46. 被引量:16
  • 3Zhang T Y, Suen C Y. A fast parallel algorithm for thinning digital patterns [ J ]. Communications of ACM, 1984,27 ( 3 ) : 236 - 239.
  • 4Lu H E, Wang P S P. An improved fast parallel algorithm for thinning digital patterns[ C ]//Proc IEEE Confetence on Computer Vision and Pattern Recognition, 1985:364 - 367.
  • 5Lu H E, Wang P S P. A commention a fast parallel thinning algorithm for thinning digital patterns" [J]. Communication of the ACM, 1986, 29(3) :239-242.
  • 6Kato N,Suzuki M,Aso H,et al. A Handwritten Character Recognition System Using Directional Element Feature and Asymmetric Mahalanobis Distance.lEEE Transactions on Pattern Analysis and Machine Intelligence, 1999, 21(3).
  • 7Jin Lianwen, Wei Gang. Handwritten Chinese Character Recognition with Directional Decomposition Cellular Features. Journal of Circuits, Systems, and Computers, 1998, 8(4): 517-524.
  • 8Gao Xue, Jin Lianwen, Yin Junxun, et al. A New Stroke-based Directional Feature Extraction Approach for Handwritten Chinese Character Recognition.Proceedings of Sixth International Conference oa Document Analysis and Recognition,2001:635- 639.
  • 9Jin Lianwen, Yin Junxun, Gao Xue, et al. Study of Several Directional Feature Extraction Methods with Local Elastic Meshing Technology for HCCR.Computer Science and Technology in New Century,Hangzhou, China, 2001:232-236.
  • 10Castlman K R. Digital Image Processing. Prentice Hall, Inc., 1996.

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