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Biometrics Essay

2966 words - 12 pages

Optimization of biometric Fingerprint Recognition parameters using Genetic Algorithms

Report submitted for

CPSC - 6126 Fall 2014 Term Paper By Krishna Sindhuri Nagavolu
13th December, 2014

Optimization
 of
 biometric
 fingerprint
 recognition
 parameters
 using
  Genetic
 Algorithms
 

Abstract
This research paper discusses about parameter optimization for biometric fingerprint recognition with the use of genetic algorithms. An accurate access control system is very important in domains like identification checks at airports, government organizations, FBI’s, scientific working groups like NASA, US defense department and driver’s license office. The ...view middle of the document...

.2
 
  1. Introduction…………………………………………………………………………4
 
 
  2. Genetic
 Algorithms……………………………………………………………..5
 
  3. Design
 of
 Genetic
 Optimizer……………………………………………….7
 
  4. Experimental
 Setup……………………………………………………………9
 
  5.
 Proposed
 Solution……………………………………………………………11
 
 
  6. Conclusion…………………………………………………………………………12
 
 
 
 
 
 
 
 7.
 Acknowledgments
 and
 References……………………………………13
 
 
 
 
 
 
 
 
3|Page

Optimization
 of
 biometric
 fingerprint
 recognition
 parameters
 using
  Genetic
 Algorithms
  1. Introduction
 

Traditional identification methods have several disadvantages like identity theft or hacking and biometric methods are considered to be one of the solutions to overcome these disadvantages. Biometrics is a science of establishing the identity of an individual based on his or her physical or behavioral patterns. The most common and well-known biometric identification system used is fingerprint recognition. Although there are many other biometric identification systems attracting the modern world, fingerprint recognition is considered as a standard model. They are widely used because of their individuality and immutability. The main disadvantages of biometrics are fraud rate, insult rate and equal error rate (EER). Fraud rate is the rate at which a biometric system mistakenly authenticates a person as a user and insult rate is the rate at which the system mistakenly does not authenticate the correct user… When the fraud rate and the error rate are same, then it is said to be equal error rate (EER). In other words EER can be determined as a point where false reject rates are equal to false accept rates. This article provides a method where the biometric system uses genetic algorithms for fingerprint recognition that has very low EER and is more robust. For more information on Biometrics refer [3]. Optimization is a process of making a system as effective as possible. Optimizations using “evolutionary approaches” are found in many technical systems today. The approach suggested by the author’s of the paper optimizes a fingerprint recognition system by using genetic algorithms. This paper focuses on the research done by Scheidat et al on “Parameter Optimization for biometric Fingerprint recognition using Genetic Algorithms”. The paper is organized as follows: In the second section an introduction to genetic algorithms is provided and how genetic algorithms can be used in biometrics is discussed later. The third section explains how to
4|Page

Optimization
 of
 biometric
 fingerprint
 recognition
 parameters
 using
  Genetic
 Algorithms
  design a genetic optimizer and the fourth section illustrates experimental setup and their results. The last section of the paper provides proposed solution, limitations of genetic algorithms and...

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