• DocumentCode
    289697
  • Title

    Using forensic handwriting analysis techniques to enhance automatic handwritten script recognition and processing

  • Author

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

  • Author_Institution
    Dept. of Electron. Syst. Eng., Essex Univ., Colchester, UK
  • fYear
    1994
  • fDate
    12-13 Jul 1994
  • Firstpage
    42401
  • Lastpage
    42403
  • Abstract
    There is a pressing need for reliable fast and accurate identification of individuals in banking transactions, access to databases containing sensitive information and access to high security buildings or restricted areas. The most common identification method is the use of a PIN (Personal Identification Number). However, a PIN only offers limited security. An appropriate biometric, which may be checked automatically, provides the ultimate level of security, as it is a unique characteristic of each human body. Handwriting and handwritten signatures are biometrics which have a legally accepted role in authorisation and authentication for many activities in banking, legal and commercial work. The accurate identification of forged handwriting (where the writer was not the person they claimed to be) and disguised writing (where the writer tried to disguise their writing in order to disclaim writing it later) has many applications in such documents as cheques, cheques card transactions, contracts, last wills, anonymous letters, doctors prescriptions and authorisation documents
  • Keywords
    authorisation; handwriting recognition; PIN; authentication; authorisation; authorisation documents; automatic handwritten script recognition; biometrics; cheques card transactions; commercial work; contracts; forensic handwriting analysis techniques; legal work;
  • fLanguage
    English
  • Publisher
    iet
  • Conference_Titel
    Handwriting Analysis and Recognition: A European Perspective, IEE European Workshop on
  • Conference_Location
    Brussels
  • Type

    conf

  • Filename
    383968