• DocumentCode
    183224
  • Title

    On-Line Signature Verification by Multi-domain Classification

  • Author

    Pirlo, G. ; Cuccovillo, V. ; Impedovo, D. ; Mignone, P.

  • Author_Institution
    Dipt. di Inf., Univ. degli Studi di Bari, Bari, Italy
  • fYear
    2014
  • fDate
    1-4 Sept. 2014
  • Firstpage
    67
  • Lastpage
    72
  • Abstract
    In this paper a new on-line signature verification technique is proposed. Differently from previous works, this approach classifies a signature using a multi-domain strategy. In particular, based on the stability model of each signer, the signature is split into different segments and for each segment the most profitable domain of representation for verification purpose is detected. In the verification stage, Dynamic Time Warping (DTW) is used to evaluate the genuinity of each segment of the unknown signature, using the specific domain of representation. The experimental results, carried out on signatures of the SUSIG database, demonstrate the effectiveness of the proposed approach when compared to other approaches in literature.
  • Keywords
    handwriting recognition; image classification; image segmentation; DTW; SUSIG database; dynamic time warping; multidomain classification; online signature verification technique; signature classification; signature segment genuinity; signer stability model; Acceleration; Feature extraction; Handwriting recognition; Prototypes; Stability criteria; Tin;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Frontiers in Handwriting Recognition (ICFHR), 2014 14th International Conference on
  • Conference_Location
    Heraklion
  • ISSN
    2167-6445
  • Print_ISBN
    978-1-4799-4335-7
  • Type

    conf

  • DOI
    10.1109/ICFHR.2014.19
  • Filename
    6980998