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

Issue Vol. 15 No. 2 (2019)

Articles

IMPLEMENTING THE FADE-IN AUDIO EFFECT FOR REAL-TIME COMPUTING
Lucian LUPŞA-TĂTARU

5-18
OPTIMIZATION OF FINGERPRINT SIZE FOR REGISTRATION
Hamid JAN, Amjad ALI

19-30
NUMERICAL SIMULATIONS OF SANDWICH STRUCTURES UNDER LATERAL COMPRESSION
Quirino ESTRADA, Dariusz SZWEDOWICZ, Julio C. VERGARA, José SOLIS, Miguel A. PAREDES, Lara WIEBE, Jesús M. SILVA

31-41
A NOVEL APPROACH TO ENHANCE THE PERFORMANCE OF MOBILE AD HOC NETWORK (MANET) THROUGH A NEW BANDWIDTH OPTIMIZATION TECHNIQUE
Md. Torikur RAHMAN

42-52
APPLYING ARDUINO FOR CONTROLLING CAR PARKING SYSTEM
Kusay F. AL-TABATABAIE, Sadeer D. ABDULAMEER

53-62
APPLYING INTELLIGENT TECHNIQUES FOR TALENT RECRUITMENT
Isaac FLORES-HERNÁNDEZ, Edmundo BONILLA-HUERTA, Perfecto MALAQUIAS QUINTERO-FLORES, Oscar Atriano PONCE, José Crispín HERNÁNDEZ-HERNÁNDEZ

63-72
APPLICATION OF DATA MINING TECHNIQUES TO FIND RELATIONSHIPS BETWEEN THE DISHES OFFERED BY A RESTAURANT FOR THE ELABORATION OF COMBOS BASED ON THE PREFERENCES OF THE DINERS
Rosa Maria VAZQUEZ, Edmundo BONILLA, Eduardo SANCHEZ, Oscar ATRIANO, Cinthya BERRUECOS

73-88
DETERMINATION OF RELATIVE LENGTHS OF BONE SEGMENTS OF THE DOMESTIC CAT'S LIMBS BASED ON THE DIGITAL IMAGE ANALYSIS
Katarzyna GOSPODAREK

89-97

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, Pakistan

Amjad ALI

hod.csit@suit.edu.pk

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

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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