Visualization of dynamic characteristics in two-dimensional time series patterns: An application to online signature verification

Suyoung Chi, Jaeyeon Lee, Jung Soh, Dohyung Kim, Weongeun Oh, Chang-Hun Kim

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

2 Citations (Scopus)

Abstract

An analysis model for the dynamics information of two-dimensional time-series patterns is described. In the proposed model, two novel transforms that visualize the dynamic characteristics are proposed. The first transform, referred to as speed equalization, reproduces a time-series pattern assuming a constant linear velocity to effectively model the temporal characteristics of the signing process. The second transform, referred to as velocity transform, maps the signal onto a horizontal vs. vertical velocity plane where the variation of the velocities over time is represented as a visible shape. With the transforms, the dynamic characteristics in the original signing process are reflected in the shape of the transformed patterns. An analysis in the context of these shapes then naturally results in an effective analysis of the dynamic characteristics. The proposed transform technique is applied to an online signature verification problem for evaluation. Experimenting on a large signature database, the performance evaluated in EER(Equal Error Rate) was improved to 1.17% compared to 1.93% of the traditional signature verification algorithm in which no transformed patterns are utilized. In the case of skilled forgery experiments, the improvement was more outstanding; it was demonstrated that the parameter set extracted from the transformed patterns was more discriminative in rejecting forgeries.

Original languageEnglish
Title of host publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
PublisherSpringer Verlag
Pages395-409
Number of pages15
Volume2908
ISBN (Print)3540208275
Publication statusPublished - 2004
Event4th International Workshop on Information Security Applications, WISA 2003 - Jeju Island, Korea, Republic of
Duration: 2003 Aug 252003 Aug 27

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume2908
ISSN (Print)03029743
ISSN (Electronic)16113349

Other

Other4th International Workshop on Information Security Applications, WISA 2003
CountryKorea, Republic of
CityJeju Island
Period03/8/2503/8/27

Fingerprint

Signature Verification
Dynamic Characteristics
Time series
Visualization
Transform
Equalization
Model Analysis
Error Rate
Signature
Horizontal
Vertical
Experiments
Evaluation
Model
Experiment

ASJC Scopus subject areas

  • Computer Science(all)
  • Theoretical Computer Science

Cite this

Chi, S., Lee, J., Soh, J., Kim, D., Oh, W., & Kim, C-H. (2004). Visualization of dynamic characteristics in two-dimensional time series patterns: An application to online signature verification. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 2908, pp. 395-409). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 2908). Springer Verlag.

Visualization of dynamic characteristics in two-dimensional time series patterns : An application to online signature verification. / Chi, Suyoung; Lee, Jaeyeon; Soh, Jung; Kim, Dohyung; Oh, Weongeun; Kim, Chang-Hun.

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 2908 Springer Verlag, 2004. p. 395-409 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 2908).

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

Chi, S, Lee, J, Soh, J, Kim, D, Oh, W & Kim, C-H 2004, Visualization of dynamic characteristics in two-dimensional time series patterns: An application to online signature verification. in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). vol. 2908, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 2908, Springer Verlag, pp. 395-409, 4th International Workshop on Information Security Applications, WISA 2003, Jeju Island, Korea, Republic of, 03/8/25.
Chi S, Lee J, Soh J, Kim D, Oh W, Kim C-H. Visualization of dynamic characteristics in two-dimensional time series patterns: An application to online signature verification. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 2908. Springer Verlag. 2004. p. 395-409. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).
Chi, Suyoung ; Lee, Jaeyeon ; Soh, Jung ; Kim, Dohyung ; Oh, Weongeun ; Kim, Chang-Hun. / Visualization of dynamic characteristics in two-dimensional time series patterns : An application to online signature verification. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 2908 Springer Verlag, 2004. pp. 395-409 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).
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