• DocumentCode
    134593
  • Title

    Automatic Face Reconstruction system

  • Author

    Rahim, Nur Nazihah ; Malek, Nur Azrin Abd ; Zeki, Akram M. ; Abubakar, Adamu

  • Author_Institution
    Dept. of Inf. Syst., Int. Islamic Univ. Malaysia, Kuala Lumpur, Malaysia
  • fYear
    2014
  • fDate
    26-27 March 2014
  • Firstpage
    208
  • Lastpage
    212
  • Abstract
    A face can be sketch by freehand based on the evidence of an eyewitness description which is necessary for the Detectives to tract the looks of the offender. This process is slow; moreover there are some factors which cannot be assumed by the artist, including weight, hair color and length, and eye color. However, if this process is conducted correctly, the result should bear a striking resemblance to the individual. As with composite drawings, an image of the resulting face can then be distributed among law enforcement personnel or to the general public. The reconstructed face should be photographed in such a way that there is no perspective distortion. This paper presents Face Reconstruction for Identification that approach is relatively same with the sketching by freehand. However, this system will reconstruction and generate the face automatically. This will create an effectiveness and efficiency in identifying and recognize the offender.
  • Keywords
    face recognition; image reconstruction; police data processing; automatic face reconstruction for identification system; eyewitness description; general public; law enforcement personnel; offender identification; offender recognition; Face; Face recognition; Facial features; Forensics; Image reconstruction; Mouth; Nose; Detective; face reconstruction; identification; offender;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Science and Information Technology (CSIT), 2014 6th International Conference on
  • Conference_Location
    Amman
  • Print_ISBN
    978-1-4799-3998-5
  • Type

    conf

  • DOI
    10.1109/CSIT.2014.6806002
  • Filename
    6806002