• DocumentCode
    3161851
  • Title

    Automatic feature extraction for forensic purposes

  • Author

    Greening, C.M. ; Sagar, V.K. ; Leedham, C.G.

  • Author_Institution
    Essex Univ., Colchester, UK
  • fYear
    1995
  • fDate
    4-6 Jul 1995
  • Firstpage
    409
  • Lastpage
    414
  • Abstract
    This paper presents some research work that has been undertaken in the area of software tools for forensic document analysis. The purpose of research into this area is to study the methods used by human experts in the forensic analysis and examination of questioned hand-written documents and to formulate computer tools to assist in this task. The computer tools needed will require image processing and pattern recognition techniques. As part of this research a system for automatic identification of the author of hand-written documents is being investigated. Such systems usually attempt to match a questioned document to a known sample from a large database. It is hoped that by investigating methods that can be used to solve this problem it will be possible to develop methods that will aid the document examiner in his comparison of questioned and known documents. A part of these tools which is under investigation is the automated extraction of features from certain characters which can be used to describe a sample of writing. These tools are introduced in this paper
  • Keywords
    feature extraction; handwriting recognition; police data processing; author identification; automatic feature extraction; character analysis; computer tools; forensic analysis; hand-written documents; image processing; pattern recognition; software tools;
  • fLanguage
    English
  • Publisher
    iet
  • Conference_Titel
    Image Processing and its Applications, 1995., Fifth International Conference on
  • Conference_Location
    Edinburgh
  • Print_ISBN
    0-85296-642-3
  • Type

    conf

  • DOI
    10.1049/cp:19950691
  • Filename
    465521