Analysis of Fingerprint Image to Verify a Person

  • Hossein Jahankhani
  • Maktuba Mohid
Part of the Communications in Computer and Information Science book series (CCIS, volume 92)


Identification and authentication technologies are increasing day by day to protect people and goods from crime and terrorism. This paper is aimed to discuss fingerprint technology in depth and analysis of fingerprint image. Verify a person with a highlight on fingerprint matching. Some fingerprint matching algorithms are analysed and compared. The outcomes of the analysis has identified some major issues or factors of fingerprinting, which are location, rotation, clipping, noise, non-linear distortion sensitiveness/ insensitiveness properties, computational cost and accuracy level of fingerprint matching algorithms. Also a new fingerprint matching algorithm proposed in this research work. The proposed algorithm has used Euclidean distance, angle difference, type as matching parameters instead of specific location parameter (like, x or y coordinates), which makes the algorithm location and rotation insensitive. The matching of local neighbourhoods at each stage makes the algorithm non-linear distortion insensitive.


Fingerprint Image False Acceptance Rate False Rejection Rate Fingerprint Pattern Biometric Measure 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer-Verlag Berlin Heidelberg 2010

Authors and Affiliations

  • Hossein Jahankhani
    • 1
  • Maktuba Mohid
    • 1
  1. 1.School of Computing, IT and EngineeringUniversity of East LondonUK

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