• DocumentCode
    1743365
  • Title

    Fingerprint identification software for forensic applications

  • Author

    Abu-Faraj, Ziad ; Abdallah, Ali ; Chebaklo, Kamal ; Khoukaz, Edouard

  • Author_Institution
    Dept. of Electr. & Comput. Eng., American Univ. of Beirut, Lebanon
  • Volume
    1
  • fYear
    2000
  • fDate
    2000
  • Firstpage
    299
  • Abstract
    Fingerprint identification is broadly established as one of the most reliable identification methods for forensic and non-forensic applications. Nevertheless, due to growth in volume of fingerprint databases, performance requirements, and speed limitations of the manual process, Automated Fingerprint Identification Systems (AFIS) are extensively needed. This paper describes the design and implementation of a cost-effective AFIS system that operates in four stages: enhancement, classification, feature extraction and matching/identification. This system has been tested on two sets of multiple fingerprint images acquired using an inked impression method. These tests have confirmed system accuracy and reliability for forensic applications
  • Keywords
    feature extraction; fingerprint identification; image classification; image enhancement; image matching; police data processing; automated fingerprint identification systems; classification stage; cost-effective AFIS system; enhancement stage; feature extraction stage; fingerprint identification software; forensic applications; matching/identification stage; system accuracy; system reliability; Application software; Engines; Feature extraction; Fingerprint recognition; Forensics; Image databases; Image matching; Pattern matching; Spatial databases; System testing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electronics, Circuits and Systems, 2000. ICECS 2000. The 7th IEEE International Conference on
  • Conference_Location
    Jounieh
  • Print_ISBN
    0-7803-6542-9
  • Type

    conf

  • DOI
    10.1109/ICECS.2000.911541
  • Filename
    911541