Writer identification using a hybrid method combining gabor wavelet and mesh fractal dimension

Jianjun Zhang; Zhenyu He; Yiu Ming CHEUNG; Xinge You

doi:10.1007/978-3-642-04394-9_65

Writer identification using a hybrid method combining gabor wavelet and mesh fractal dimension

Jianjun Zhang^*, Zhenyu He, Yiu Ming CHEUNG, Xinge You

^*Corresponding author for this work

Department of Computer Science

Research output: Chapter in book/report/conference proceeding › Conference proceeding › peer-review

5 Citations (Scopus)

Abstract

Writer identification is to determine the writer from unknown handwritings, which has been becoming an active research topic in pattern recognition field. This paper proposes a new hybrid method combining Gabor function and mesh fractal dimension for off-line, text-independent writer identification. Compared to the existing Gabor-based method for off-line, text-independent writer identification, this new method is capable of extracting more useful features to distinguish the handwritings. Experimental results show that this new method can achieve much better identification results than the existing Gabor-based method.

Original language	English
Title of host publication	Intelligent Data Engineering and Automated Learning - IDEAL 2009 - 10th International Conference, Proceedings
Pages	535-542
Number of pages	8
DOIs	https://doi.org/10.1007/978-3-642-04394-9_65
Publication status	Published - 2009
Event	10th International Conference on Intelligent Data Engineering and Automated Learning, IDEAL 2009 - Burgos, Spain Duration: 23 Sept 2009 → 26 Sept 2009

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	5788 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	10th International Conference on Intelligent Data Engineering and Automated Learning, IDEAL 2009
Country/Territory	Spain
City	Burgos
Period	23/09/09 → 26/09/09

Scopus Subject Areas

Theoretical Computer Science
Computer Science(all)

Access to Document

10.1007/978-3-642-04394-9_65

Cite this

Zhang, J., He, Z., CHEUNG, Y. M., & You, X. (2009). Writer identification using a hybrid method combining gabor wavelet and mesh fractal dimension. In Intelligent Data Engineering and Automated Learning - IDEAL 2009 - 10th International Conference, Proceedings (pp. 535-542). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 5788 LNCS). https://doi.org/10.1007/978-3-642-04394-9_65

Zhang, Jianjun ; He, Zhenyu ; CHEUNG, Yiu Ming et al. / Writer identification using a hybrid method combining gabor wavelet and mesh fractal dimension. Intelligent Data Engineering and Automated Learning - IDEAL 2009 - 10th International Conference, Proceedings. 2009. pp. 535-542 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

@inproceedings{50d12457f81b4dd39b7cfa2e67bd71c8,

title = "Writer identification using a hybrid method combining gabor wavelet and mesh fractal dimension",

abstract = "Writer identification is to determine the writer from unknown handwritings, which has been becoming an active research topic in pattern recognition field. This paper proposes a new hybrid method combining Gabor function and mesh fractal dimension for off-line, text-independent writer identification. Compared to the existing Gabor-based method for off-line, text-independent writer identification, this new method is capable of extracting more useful features to distinguish the handwritings. Experimental results show that this new method can achieve much better identification results than the existing Gabor-based method.",

author = "Jianjun Zhang and Zhenyu He and CHEUNG, {Yiu Ming} and Xinge You",

note = "Copyright: Copyright 2010 Elsevier B.V., All rights reserved.; 10th International Conference on Intelligent Data Engineering and Automated Learning, IDEAL 2009 ; Conference date: 23-09-2009 Through 26-09-2009",

year = "2009",

doi = "10.1007/978-3-642-04394-9_65",

language = "English",

isbn = "3642043933",

series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

pages = "535--542",

booktitle = "Intelligent Data Engineering and Automated Learning - IDEAL 2009 - 10th International Conference, Proceedings",

}

Zhang, J, He, Z, CHEUNG, YM & You, X 2009, Writer identification using a hybrid method combining gabor wavelet and mesh fractal dimension. in Intelligent Data Engineering and Automated Learning - IDEAL 2009 - 10th International Conference, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 5788 LNCS, pp. 535-542, 10th International Conference on Intelligent Data Engineering and Automated Learning, IDEAL 2009, Burgos, Spain, 23/09/09. https://doi.org/10.1007/978-3-642-04394-9_65

Writer identification using a hybrid method combining gabor wavelet and mesh fractal dimension. / Zhang, Jianjun; He, Zhenyu; CHEUNG, Yiu Ming et al.
Intelligent Data Engineering and Automated Learning - IDEAL 2009 - 10th International Conference, Proceedings. 2009. p. 535-542 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 5788 LNCS).

Research output: Chapter in book/report/conference proceeding › Conference proceeding › peer-review

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N2 - Writer identification is to determine the writer from unknown handwritings, which has been becoming an active research topic in pattern recognition field. This paper proposes a new hybrid method combining Gabor function and mesh fractal dimension for off-line, text-independent writer identification. Compared to the existing Gabor-based method for off-line, text-independent writer identification, this new method is capable of extracting more useful features to distinguish the handwritings. Experimental results show that this new method can achieve much better identification results than the existing Gabor-based method.

AB - Writer identification is to determine the writer from unknown handwritings, which has been becoming an active research topic in pattern recognition field. This paper proposes a new hybrid method combining Gabor function and mesh fractal dimension for off-line, text-independent writer identification. Compared to the existing Gabor-based method for off-line, text-independent writer identification, this new method is capable of extracting more useful features to distinguish the handwritings. Experimental results show that this new method can achieve much better identification results than the existing Gabor-based method.

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Zhang J, He Z, CHEUNG YM, You X. Writer identification using a hybrid method combining gabor wavelet and mesh fractal dimension. In Intelligent Data Engineering and Automated Learning - IDEAL 2009 - 10th International Conference, Proceedings. 2009. p. 535-542. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-642-04394-9_65

Writer identification using a hybrid method combining gabor wavelet and mesh fractal dimension

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