• DocumentCode
    1640862
  • Title

    On-Line Signature Verification: Directional Analysis of a Signature Using Weighted Relative Angle Partitions for Exploitation of Inter-Feature Dependencies

  • Author

    Ibrahim, Muhammad Talal ; Kyan, Matthew ; Khan, M. Aurangzeb ; Alimgeer, Khurram Saleem ; Guan, Ling

  • Author_Institution
    Ryerson Multimedia Res. Lab., Ryerson Univ., Toronto, ON, Canada
  • fYear
    2009
  • Firstpage
    41
  • Lastpage
    45
  • Abstract
    In this paper, we propose a new directional analysis tool for On-line signatures that decomposes the given input signature into directional bands on the basis of relative angles. Our directional analysis tool takes the independent trajectories (horizontal and vertical) as an input and then decomposes them into directional bands on the basis of relative angles. We have used both user-dependent and user-independent thresholds for selecting an optimal number of partitions for each signer. By decomposing signature trajectories based upon relative angles of an individualpsilas signature, the resulting process can be thought of as one that exploits inter-feature dependencies . In the verification phase, distances of each partitioned trajectory of a test signature are calculated against a similarly partitioned template trajectory for a known signer. Each partition is then weighted based on its quality and quantity. Experimental results demonstrate the superiority of our approach to On-line signature verification in comparison with other techniques.
  • Keywords
    biometrics (access control); handwriting recognition; directional analysis tool; directional band; independent trajectory; inter feature dependencies exploitation; online signature verification; signature directional analysis; user dependent threshold; user independent threshold; weighted relative angle partition; Biometrics; Databases; Error analysis; Forgery; Handwriting recognition; Information analysis; Information technology; Shape; Testing; Text analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Document Analysis and Recognition, 2009. ICDAR '09. 10th International Conference on
  • Conference_Location
    Barcelona
  • ISSN
    1520-5363
  • Print_ISBN
    978-1-4244-4500-4
  • Electronic_ISBN
    1520-5363
  • Type

    conf

  • DOI
    10.1109/ICDAR.2009.113
  • Filename
    5277797