TELKOMNIKA Telecommunication, Computing, Electronics and Control
Measuring memetic algorithm performance on image fingerprints dataset
Dublin Core
Title
TELKOMNIKA Telecommunication, Computing, Electronics and Control
Measuring memetic algorithm performance on image fingerprints dataset
Measuring memetic algorithm performance on image fingerprints dataset
Subject
Biometrics
Fingerprints
Image
Memetic algorithm
Performance
Fingerprints
Image
Memetic algorithm
Performance
Description
Personal identification has become one of the most important terms in our
society regarding access control, crime and forensic identification, banking
and also computer system. The fingerprint is the most used biometric feature
caused by its unique, universality and stability. The fingerprint is widely used
as a security feature for forensic recognition, building access, automatic teller
machine (ATM) authentication or payment. Fingerprint recognition could be
grouped in two various forms, verification and identification. Verification
compares one on one fingerprint data. Identification is matching input
fingerprint with data that saved in the database. In this paper, we measure the
performance of the memetic algorithm to process the image fingerprints
dataset. Before we run this algorithm, we divide our fingerprints into four
groups according to its characteristics and make 15 specimens of data, do four
partial tests and at the last of work we measure all computation time.
society regarding access control, crime and forensic identification, banking
and also computer system. The fingerprint is the most used biometric feature
caused by its unique, universality and stability. The fingerprint is widely used
as a security feature for forensic recognition, building access, automatic teller
machine (ATM) authentication or payment. Fingerprint recognition could be
grouped in two various forms, verification and identification. Verification
compares one on one fingerprint data. Identification is matching input
fingerprint with data that saved in the database. In this paper, we measure the
performance of the memetic algorithm to process the image fingerprints
dataset. Before we run this algorithm, we divide our fingerprints into four
groups according to its characteristics and make 15 specimens of data, do four
partial tests and at the last of work we measure all computation time.
Creator
Priati Assiroj, H. L. H. S. Warnars, E. Abdurrachman, A. I. Kistijantoro, A. Doucet
Source
http://journal.uad.ac.id/index.php/TELKOMNIKA
Date
Aug 29, 2020
Contributor
peri irawan
Format
pdf
Language
english
Type
text
Files
Collection
Citation
Priati Assiroj, H. L. H. S. Warnars, E. Abdurrachman, A. I. Kistijantoro, A. Doucet, “TELKOMNIKA Telecommunication, Computing, Electronics and Control
Measuring memetic algorithm performance on image fingerprints dataset,” Repository Horizon University Indonesia, accessed April 28, 2025, https://repository.horizon.ac.id/items/show/3616.
Measuring memetic algorithm performance on image fingerprints dataset,” Repository Horizon University Indonesia, accessed April 28, 2025, https://repository.horizon.ac.id/items/show/3616.