Ancient Books Chinese Characters Segmentation Based on Connected Domain and Chinese Characters Feature

Abstract:

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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 and 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

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Price:

$35.00

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