Stability and repeatability of HMM based probability outputs across dynamic handwritten signature features

Sharifah Mumtazah Syed Ahmad, Asma Shakil, Rina Md. Anwar

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

3 Citations (Scopus)

Abstract

This paper presents a study on the stability and repeatability of Hidden Markov Modeling based probability outputs across several different dynamic handwritten signature features. This study compares such values extracted from signature samples compiled within a single data collection session (i.e. between intra-session) and across several data collection sessions (i.e. between inter-sessions). The primary aim of this study is to investigate the indentifying capability of local online signature Hidden Markov Modeling based probability outputs which have implications on the accuracy of biometrics signature verification system which utilize similar HMM approach. This paper reports on an analysis results carried out on the online genuine signature counterparts of Sigma database - a compilation of over 6000 genuine signature samples that were gathered over a series of data collection sessions.

Original languageEnglish
Title of host publicationProceedings - International Symposium on Information Technology 2008, ITSim
DOIs
Publication statusPublished - 12 Dec 2008
EventInternational Symposium on Information Technology 2008, ITSim - Kuala Lumpur, Malaysia
Duration: 26 Aug 200829 Aug 2008

Publication series

NameProceedings - International Symposium on Information Technology 2008, ITSim
Volume2

Other

OtherInternational Symposium on Information Technology 2008, ITSim
CountryMalaysia
CityKuala Lumpur
Period26/08/0829/08/08

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All Science Journal Classification (ASJC) codes

  • Artificial Intelligence
  • Information Systems
  • Control and Systems Engineering
  • Electrical and Electronic Engineering

Cite this

Ahmad, S. M. S., Shakil, A., & Md. Anwar, R. (2008). Stability and repeatability of HMM based probability outputs across dynamic handwritten signature features. In Proceedings - International Symposium on Information Technology 2008, ITSim [4631698] (Proceedings - International Symposium on Information Technology 2008, ITSim; Vol. 2). https://doi.org/10.1109/ITSIM.2008.4631698
Ahmad, Sharifah Mumtazah Syed ; Shakil, Asma ; Md. Anwar, Rina. / Stability and repeatability of HMM based probability outputs across dynamic handwritten signature features. Proceedings - International Symposium on Information Technology 2008, ITSim. 2008. (Proceedings - International Symposium on Information Technology 2008, ITSim).
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Ahmad, SMS, Shakil, A & Md. Anwar, R 2008, Stability and repeatability of HMM based probability outputs across dynamic handwritten signature features. in Proceedings - International Symposium on Information Technology 2008, ITSim., 4631698, Proceedings - International Symposium on Information Technology 2008, ITSim, vol. 2, International Symposium on Information Technology 2008, ITSim, Kuala Lumpur, Malaysia, 26/08/08. https://doi.org/10.1109/ITSIM.2008.4631698

Stability and repeatability of HMM based probability outputs across dynamic handwritten signature features. / Ahmad, Sharifah Mumtazah Syed; Shakil, Asma; Md. Anwar, Rina.

Proceedings - International Symposium on Information Technology 2008, ITSim. 2008. 4631698 (Proceedings - International Symposium on Information Technology 2008, ITSim; Vol. 2).

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

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AB - This paper presents a study on the stability and repeatability of Hidden Markov Modeling based probability outputs across several different dynamic handwritten signature features. This study compares such values extracted from signature samples compiled within a single data collection session (i.e. between intra-session) and across several data collection sessions (i.e. between inter-sessions). The primary aim of this study is to investigate the indentifying capability of local online signature Hidden Markov Modeling based probability outputs which have implications on the accuracy of biometrics signature verification system which utilize similar HMM approach. This paper reports on an analysis results carried out on the online genuine signature counterparts of Sigma database - a compilation of over 6000 genuine signature samples that were gathered over a series of data collection sessions.

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Ahmad SMS, Shakil A, Md. Anwar R. Stability and repeatability of HMM based probability outputs across dynamic handwritten signature features. In Proceedings - International Symposium on Information Technology 2008, ITSim. 2008. 4631698. (Proceedings - International Symposium on Information Technology 2008, ITSim). https://doi.org/10.1109/ITSIM.2008.4631698