Distinctiveness, complexity, and repeatability of online signature templates

Napa Sae-Bae, Nasir Memon, Pitikhate Sooraksa

Research output: Contribution to journalArticlepeer-review


This paper proposes three measures to quantify the characteristics of online signature templates in terms of distinctiveness, complexity and repeatability. A distinctiveness measure of a signature template is computed from a set of enrolled signature samples and a statistical assumption about random signatures. Secondly, a complexity measure of the template is derived from a set of enrolled signature samples. Finally, given a signature template, a measure to quantify the repeatability of the online signature is derived from a validation set of samples. These three measures can then be used as an indicator for the performance of the system in rejecting random forgery samples and skilled forgery samples and the performance of users in providing accepted genuine samples, respectively. The effectiveness of these three measures and their applications are demonstrated through experiments performed on three online signature datasets and one keystroke dynamics dataset using different verification algorithms.

Original languageEnglish (US)
Pages (from-to)332-344
Number of pages13
JournalPattern Recognition
StatePublished - Dec 2018


  • Biometric
  • Biometric template quality
  • Complexity
  • Distinctiveness
  • Online signature
  • Repeatability

ASJC Scopus subject areas

  • Software
  • Signal Processing
  • Computer Vision and Pattern Recognition
  • Artificial Intelligence


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