Biometrics is an emerging technology for consistent automatic identification and authentication applications. Fingerprint is the dominant trait between different biometrics like iris, retina, and face. Many fingerprint-based algorithms have been individually developed to investigate, build, or enhance different AFIS components such as fingerprint acquisition, pre-processing, features extraction, and matching. The common shortage of these contributions is the missing of complete platform to ensemble all system components to study the impact of developing one component on the others. This paper introduces FingRF as ongoing fingerprint research framework that links all fingerprint system components with some other supporting tools for performance evaluation. FingRF aims to provide a facility for conducting fingerprint research in a reliable environment. Moreover, it can be extended to include both off-line and on-line operational modes. The prototype version of FingRF is targeted to work as a stable research environment, and hence, it may be extended further for other biometrics technologies.


Biometrics Fingerprints Performance Evaluation Matlab® 


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Copyright information

© ICST Institute for Computer Science, Social Informatics and Telecommunications Engineering 2012

Authors and Affiliations

  • Ali Ismail Awad
    • 1
  • Kensuke Baba
    • 2
  1. 1.Graduate School of Information Science and Electrical EngineeringKyushu UniversityJapan
  2. 2.Research and Development DivisionKyushu University LibraryJapan

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