• DocumentCode
    2431719
  • Title

    Analysis on compact data formats for the performance of handwritten signature biometrics

  • Author

    Miguel-Hurtado, Oscar ; Mengibar-Pozo, Luis ; Tomeo-Reyes, Inmaculada ; Liu-Jimenez, Judith

  • Author_Institution
    Dipt. Electron. Technol., Univ. Carlos III de Madrid, Leganes, Spain
  • fYear
    2009
  • fDate
    5-8 Oct. 2009
  • Firstpage
    339
  • Lastpage
    346
  • Abstract
    This paper deals with the Signature Data Formats proposed by ISO 19794 project: 19794 part 7 Full Format and Compact Format (published in 2007) and the new 19794 part 11, which is under development. It will be shown how these formats handle the raw data coming from a Signature Input Device, and what the size of a Biometric Information Record is for each one. Another compression method, using LZ77 compression algorithm, is proposed and tested. The paper will also show the impact of using these compact formats on the performance of two different algorithms: Dynamic Time Warping and Gaussian Mixture Models. MCyT and SVC2004 signature databases have been used to carry out all tests.
  • Keywords
    Gaussian processes; ISO standards; data compression; handwriting recognition; security of data; Gaussian mixture model; ISO 19794 project; LZ77 compression algorithm; MCyT signature databases; SVC2004 signature databases; biometric information record; compact data format analysis; dynamic time warping algorithm; handwritten signature biometrics; signature input device; Bioinformatics; Biometrics; Compression algorithms; Data analysis; Databases; Heuristic algorithms; IEC standards; ISO standards; Performance analysis; Testing; Compact Format; Compression; ISO/IEC Data Interchange Format; Signature;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Security Technology, 2009. 43rd Annual 2009 International Carnahan Conference on
  • Conference_Location
    Zurich
  • Print_ISBN
    978-1-4244-4169-3
  • Electronic_ISBN
    978-1-4244-4170-9
  • Type

    conf

  • DOI
    10.1109/CCST.2009.5335512
  • Filename
    5335512