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

Research output: Chapter in book/report/conference proceedingConference contributionpeer-review

3 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 languageEnglish
Title of host publicationIntelligent Data Engineering and Automated Learning - IDEAL 2009 - 10th International Conference, Proceedings
Pages535-542
Number of pages8
DOIs
Publication statusPublished - 2009
Event10th International Conference on Intelligent Data Engineering and Automated Learning, IDEAL 2009 - Burgos, Spain
Duration: 23 Sep 200926 Sep 2009

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume5788 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference10th International Conference on Intelligent Data Engineering and Automated Learning, IDEAL 2009
Country/TerritorySpain
CityBurgos
Period23/09/0926/09/09

Scopus Subject Areas

  • Theoretical Computer Science
  • Computer Science(all)

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