Toward forensics by stroke order variation - Performance evaluation of stroke correspondence methods

Wenjie Cai, Seiichi Uchida, Hiroaki Sakoe

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

We consider personal identification using stroke order variations of online handwritten character patterns, which are written on, e.g., electric tablets. To extract the stroke order variation of an input character pattern, it is necessary to establish the accurate stroke correspondence between the input pattern and the reference pattern of the same category. In this paper we compare five stroke correspondence methods: the individual correspondence decision (ICD), the cube search (CS), the bipartite weighted matching (BWM), the stable marriage (SM), and the deviation-expansion model (DE). After their brief review, they are experimentally compared quantitatively by not only their stroke correspondence accuracy but also character recognition accuracy. The experimental results showed the superiority CS and BWM over ICD, SM and DE.

Original languageEnglish
Title of host publicationComputational Forensics - 4th International Workshop, IWCF 2010, Revised Selected Papers
Pages43-55
Number of pages13
DOIs
Publication statusPublished - Mar 9 2011
Event4th International Workshop on Computational Forensics, IWCF 2010 - Tokyo, Japan
Duration: Nov 11 2010Nov 12 2010

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume6540 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other4th International Workshop on Computational Forensics, IWCF 2010
CountryJapan
CityTokyo
Period11/11/1011/12/10

All Science Journal Classification (ASJC) codes

  • Computer Science(all)
  • Theoretical Computer Science

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    Cai, W., Uchida, S., & Sakoe, H. (2011). Toward forensics by stroke order variation - Performance evaluation of stroke correspondence methods. In Computational Forensics - 4th International Workshop, IWCF 2010, Revised Selected Papers (pp. 43-55). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 6540 LNCS). https://doi.org/10.1007/978-3-642-19376-7_4