• DocumentCode
    2029121
  • Title

    ER2: an intuitive similarity measure for on-line signature verification

  • Author

    Lei, Hansheng ; Palla, Srinivas ; Govindaraju, Venu

  • Author_Institution
    CUBS, State Univ. of New York, Amherst, NY, USA
  • fYear
    2004
  • fDate
    26-29 Oct. 2004
  • Firstpage
    191
  • Lastpage
    195
  • Abstract
    ER2 (extended r-squared) is proposed as a similarity measure for on-line signature verification. SLR (simple linear regression) defines R2 as a measure of goodness-of-fit. We observed that R2is a good similarity measure for 1-dimensional sequences. However, many kinds of sequences are multidimensional, such as on-line signature sequences, 2D curves, etc. Therefore, we extend R2 to ER2 for multidimensional sequence matching. Coupled with optimal alignment, ER2 outperforms DTW-based curve matching on on-line signature verification.
  • Keywords
    feature extraction; handwriting recognition; image matching; image sequences; regression analysis; dynamic time warping curve matching; extended r-squared; multidimensional sequence matching; online signature sequence; online signature verification; similarity measure; simple linear regression; Authentication; Biometrics; Biosensors; Erbium; Feature extraction; Fingerprint recognition; Handwriting recognition; Linear regression; Multidimensional systems; Venus;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Frontiers in Handwriting Recognition, 2004. IWFHR-9 2004. Ninth International Workshop on
  • ISSN
    1550-5235
  • Print_ISBN
    0-7695-2187-8
  • Type

    conf

  • DOI
    10.1109/IWFHR.2004.38
  • Filename
    1363909
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2029121