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Biometric identification using local iterated function


Mohammed G. Al-Saidi, Nadia and Md. Said, Mohamad Rushdan (2014) Biometric identification using local iterated function. The European Physical Journal Special Topics, 223 (8). pp. 1647-1662. ISSN 1951-6355; ESSN: 1951-6401


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.

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Additional Metadata

Item Type: Article
Divisions: Institute for Mathematical Research
DOI Number: https://doi.org/10.1140/epjst/e2014-02120-4
Publisher: Springer
Keywords: Biometric identification protocol; Iterated function systems (IFS); Optical fingerprint reader (OFR); Fingerprint
Depositing User: Nabilah Mustapa
Date Deposited: 23 May 2015 12:36
Last Modified: 06 Oct 2015 03:28
Altmetrics: http://www.altmetric.com/details.php?domain=psasir.upm.edu.my&doi=10.1140/epjst/e2014-02120-4
URI: http://psasir.upm.edu.my/id/eprint/36663
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