The European Physical Journal Special Topics

, Volume 223, Issue 8, pp 1647–1662 | Cite as

Biometric identification using local iterated function

  • N.M.G. Al-SaidiEmail author
  • M.R.M. Said
Regular Article Chaos Based Image Encryption, Stream Cipher and Authentication
Part of the following topical collections:
  1. Chaos, Cryptography and Communications


Biometric identification protocol has been received an increasing interest recently. It is a process that determines person identity by making use of their biometric features. A new biometric identification method is presented in this paper based on partial self-similarity that used to identify features within fingerprint images. This approach is already used in Fractal Image Compression (FIC) due to their ability to represent the images by a limited number of affine transformations, and its variation of scale, translation or rotation. These features give the recognition process high impact and good performance. To process data in a fingerprint image, it first converted into digital format using Optical Fingerprint Reader (OFR). The verification process is done by comparing these data with the server data. The system analysis shows that the proposed method is efficient in terms of memory and time complexity.


European Physical Journal Special Topic Smart Card Server Side Iterate Function System Registration Phase 
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

© EDP Sciences and Springer 2014

Authors and Affiliations

  1. 1.The Branch of Applied Mathematics, Applied Sciences Department, University of TechnologyBaghdadIraq
  2. 2.Institute for Mathematical Research (INSPEM), Universiti Putra MalaysiaDarul EhsanMalaysia

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