• DocumentCode
    2565207
  • Title

    Handwriting identification: a direction review

  • Author

    Bin Abdl, Khaled Mohammed ; Hashim, Siti Zaiton Mohd

  • Author_Institution
    Fac. of Appl. Sci., Hadramout Univ. for Sci. & Technol., Yemen
  • fYear
    2009
  • fDate
    18-19 Nov. 2009
  • Firstpage
    459
  • Lastpage
    463
  • Abstract
    Handwriting is a behavioral trait that is personal to individual. The character shape and the style of writing are visually different from one to another. Handwriting identification is a process to identify or verify the authorship of a handwriting document. Asserting authorship identity based on handwritten text requires three steps: Data acquisition and preprocessing, Feature extraction and Classification. The main issue in handwriting identification is how to get the features that reflect the varieties of handwriting. It has been shown in literature that there are a significant number of feature extraction techniques developed and employed for handwriting identification; however, the importance of a specific feature in handwriting identification has not been entirely investigated.
  • Keywords
    data acquisition; document image processing; feature extraction; handwriting recognition; pattern classification; reviews; text analysis; authorship; behavioral trait; data acquisition; data preprocessing; feature classification; feature extraction; handwriting document; handwriting identification; handwritten text; Application software; Biometrics; Computer science; Data acquisition; Feature extraction; Image processing; Neural networks; Shape; Signal processing; Writing; Features extraction; Handwriting Nature; Handwriting Styles; Handwriting identification;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal and Image Processing Applications (ICSIPA), 2009 IEEE International Conference on
  • Conference_Location
    Kuala Lumpur
  • Print_ISBN
    978-1-4244-5560-7
  • Type

    conf

  • DOI
    10.1109/ICSIPA.2009.5478698
  • Filename
    5478698