Paper Title:
Ancient Books Chinese Characters Segmentation Based on Connected Domain and Chinese Characters Feature
  Abstract

During the processing of handwritten Chinese characters recognition, pretreatment and segmentation has great effect to the recognition. On the base of review upon the often-used algorithm, the article proposes the methods which get the connected domain of binary image use the non-recursion Marking algorithm, and design the algorithm to coherent noise and delete image frame line and segment the character. The article segment the character in the whole scope with the connected domain merging algorithm to overcame the difficult about the tilt; and segment the Chinese character in the part scope with the projection to overcome the difficult about conglutination. The fact proved that this algorithm solves the problem by using single method.

  Info
Periodical
Advanced Materials Research (Volumes 143-144)
Edited by
H. Wang, B.J. Zhang, X.Z. Liu, D.Z. Luo, S.B. Zhong
Pages
227-231
DOI
10.4028/www.scientific.net/AMR.143-144.227
Citation
L. Zhu, J. Yang, "Ancient Books Chinese Characters Segmentation Based on Connected Domain and Chinese Characters Feature", Advanced Materials Research, Vols. 143-144, pp. 227-231, 2011
Online since
October 2010
Authors
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Price
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