UM
Skeleton Representation of Character Based on Multiscale Approach
Xinhua You1; Bin Fang3; Xinge You1,2; Zhenyu He2; Dan Zhang1; Yuan Yan Tang1,2
2005-12-01
Conference NameInternational Conference on Computational Intelligence and Security
Source PublicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume3802 LNAI
Pages1060-1067
Conference DateDecember 15-19
Conference PlaceXi’an, China
PublisherSPRINGER-VERLAG BERLIN, HEIDELBERGER PLATZ 3, D-14197 BERLIN, GERMANY
Abstract

Character skeleton plays a significant role in character recognition. This paper presents a novel algorithm based on multiscale approach to extract skeletons of printed and hand-written characters. The development of the method is inspired by some desirable characteristics of the modulus minima of wavelet transform. Namely, the local minima of wavelet transform are scale-independent and locate at the medial axis of the symmetrical contours of character stroke. Thus it is particularly suitable for characterizing the inherent skeletons of character strokes. The proposed skeletonization algorithm contains two major steps. First, by thresholding for the modulus minima of wavelet transform, the modulus minima points underlying the character strokes are extracted as the primary skeletons. Based on these primary skeletons, the modulus minima points are being eventually computed as the final skeleton by iteratively performing wavelet transform. The skeleton form the proposed method can be exactly located on the central line of the stroke, and the artifacts and branches of skeletons from traditional methods can be avoided. We tested the algorithm on handwritten and printed character images. Experimental results indicate that the proposed algorithm is applicable to not only binary image but also gray-level image. 

DOIhttps://doi.org/10.1007/11596981_158
URLView the original
Indexed BySCI
Language英语
WOS Research AreaComputer Science
WOS SubjectComputer Science, Artificial Intelligence ; Computer Science, Information Systems ; Computer Science, Theory & Methods
WOS IDWOS:000234874900158
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Cited Times [WOS]:0   [WOS Record]     [Related Records in WOS]
Document TypeConference paper
CollectionUniversity of Macau
Affiliation1.Faculty of Mathematics and Computer Science, Hubei University, China
2.Department of Computer Science, Hong Kong Baptist University
3.Chongqing University
Recommended Citation
GB/T 7714
Xinhua You,Bin Fang,Xinge You,et al. Skeleton Representation of Character Based on Multiscale Approach[C]:SPRINGER-VERLAG BERLIN, HEIDELBERGER PLATZ 3, D-14197 BERLIN, GERMANY,2005:1060-1067.
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