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access icon free Multi-script versus single-script scenarios in automatic off-line signature verification

  • Author(s): Abhijit Das 1 ; Miguel A. Ferrer 2 ; Umapada Pal 3 ; Srikanta Pal 1 ; Moises Diaz 2 ; Michael Blumenstein 1, 4
    • View affiliations
    • Affiliations: 1: School of Information and Communication Technology, Griffith University, Queensland, Australia ;
      2: Instituto Universitario para el Desarrollo Tecnológico en Comunicaciones, Universidad de Las Palmas de Gran Canaria, Las Palmas, Spain ;
      3: Computer Vision and Pattern Recognition Unit, Indian Statistical Institute, Kolkata, India ;
      4: School of Software, University of Technology Sydney, Sydney, Australia
  • Source: Volume 5, Issue 4, December 2016, p. 305 – 313
    DOI:  10.1049/iet-bmt.2016.0010 , Print ISSN 2047-4938, Online ISSN 2047-4946
© The Institution of Engineering and Technology
Received 21/01/2016, Accepted 17/05/2016, Revised 13/05/2016, Published 01/06/2016

This study introduces a novel method to build up a multi-script off-line signature database aggregating many single-script off-line databases, along with a statistical performance analysis method for a fair comparison between single- and multi-script scenarios. This analysis method is based on merging the single-script databases without increasing the number of users (signers) and selecting the users for merging, based on the probability density functions of the users’ equal error rates. As similar results are achieved when merging single- and multi-script databases, it is concluded that multi-script signature verification is actually a generalisation and interoperability problem. The study also concludes that a statistical performance analysis method that is Bhattacharyya distance could be used for analysing multi-script versus single-script signature verification scenarios. These results have been obtained after experimenting with nine public databases with five different scripts.

Inspec keywords: probability; statistical analysis; visual databases; handwriting recognition

Other keywords: Bhattacharyya distance; users equal error rates; probability density functions; multiscript-single-script scenarios; generalisation problem; multiscript offline signature database; interoperability problem; single-script offline databases; public databases; automatic offline signature verification; statistical performance analysis method

Subjects: Image recognition; Other topics in statistics; Spatial and pictorial databases; Computer vision and image processing techniques; Other topics in statistics

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