OPTIMIZATION OF FINGERPRINT SIZE FOR REGISTRATION
Journal Title: Applied Computer Science - Year 2019, Vol 15, Issue 2
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.
Authors and Affiliations
JAN Hamid, ALI Amjad
Keywords
Related Articles
- EP ID EP596224
- DOI 10.23743/acs-2019-10
- Views 40
- Downloads 0
EFFICIENT NUMERICAL MODELLING OF FUNCTIONALLY GRADED SHELL MECHANICAL BEHAVIOR
Numerical analysis of the static bending and free vibration mechanical behavior of FGM are performed using the UMAT-USDFLD subroutines in ABAQUS software. Different combinations of geometries, mechanical loading and boun...
AN EFFECTIVE METAHEURISTIC FOR TOURIST TRIP PLANNING IN PUBLIC TRANSPORT NETWORKS
The Time-Dependent Orienteering Problem with Time Windows (TDOPTW) is a combinatorial optimization problem defined on graphs. Its real life applications are particularly associated with tourist trip planning in trans-por...
ASYNCHRONOUS INFORMATION DISTRIBUTION AND CLUSTER STATE SYNCHRONIZATION
This article describes issues related to information distribution and cluster state synchronization in decentralized environments with inconsistent net-work topology. The main objective of this study was to create a set...
APPLYING INTELLIGENT TECHNIQUES FOR TALENT RECRUITMENT
The objective of this research is to describe a system to aligned the hard and soft skills of the applicant to the current labor market. For this, a system was implemented which uses Web Scraping to get a general profile...
IDENTIFICATION OF THE MASS INERTIA MOMENT IN AN ELECTROMECHANICAL SYSTEM BASED ON WAVELET–NEURAL METHOD
This paper presents the results of testing of a complex electromechanical system model. These results have been obtained for accepted in simu-lations the method of identifying an inertia moment of reduced masses on shaft...