TELKOMNIKA (Telecommunication Computing Electronics and Control)
Vol 19, No 1: February 2021

Measuring memetic algorithm performance on image fingerprints dataset

Priati Assiroj (Universitas Bina Nusantara Jakarta)
H. L. H. S. Warnars (Universitas Bina Nusantara Jakarta)
E. Abdurrachman (Universitas Bina Nusantara Jakarta)
A. I. Kistijantoro (Institut Teknologi Bandung)
A. Doucet (La Rochelle Universite)



Article Info

Publish Date
01 Feb 2021

Abstract

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.

Copyrights © 2021






Journal Info

Abbrev

TELKOMNIKA

Publisher

Subject

Computer Science & IT

Description

Submitted papers are evaluated by anonymous referees by single blind peer review for contribution, originality, relevance, and presentation. The Editor shall inform you of the results of the review as soon as possible, hopefully in 10 weeks. Please notice that because of the great number of ...