OPTIMIZATION OF FINGERPRINT SIZE FOR REGISTRATION

Hamid  JAN; Amjad  ALI

doi:10.23743/acs-2019-10

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Published: Jun 30, 2019

DOI: https://doi.org/10.23743/acs-2019-10

DOI

https://doi.org/10.23743/acs-2019-10

Authors

Hamid JAN

hod.csit@suit.edu.pk

* Sarhad University of Science & Information Technology, Landi Akhun Ahmad, Hayatabad Link, Ring Road, Peshawar 25000

Amjad ALI

hod.csit@suit.edu.pk

* Sarhad University of Science & Information Technology, Landi Akhun Ahmad, Hayatabad Link, Ring Road, Peshawar 25000

Abstract

The propose algorithm finds the optimal reduced size of latent fingerprint. The algorithm accelerates the correlation methods of fingerprint registration. The Algorithm is based on decomposition and reduction of fingerprint to one dimension form by using the adoptive method of empirical modes. We choose the most appropriate internal mode to determine the minimum distance between the extremes of empirical modes. We can estimate how many times the fingerprint in the first step of the comparison can be reduced so as not to lose the accuracy of registration. This algorithm shows best results as compared to conventional fingerprint matching techniques that strongly depends on local features for registration. The algorithm was tested on latent fingerprints using FVC2002, FVC2004 and FVC2006 databases.

Keywords:

optimization, correlation methods, fingerprint registration, latent fingerprint, empirical modes

References

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JAN, H. ., & ALI, A. . (2019). OPTIMIZATION OF FINGERPRINT SIZE FOR REGISTRATION. Applied Computer Science, 15(2), 19–30. https://doi.org/10.23743/acs-2019-10

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