Jurnal Komputer, Informasi dan Teknologi
Vol. 1 No. 2 (2021): DESEMBER

Implementation of Artificial Neural Networks with Learning Vector Quantization (LVQ) Algorithm for Detecting Fingerprint Characteristics

Yessi Mardiana (Study of Computer System Engineerings, Faculty of Computer Science, Universitas Dehasen Bengkulu)
Toibah Umi Kalsum (Study of Computer System Engineerings, Faculty of Computer Science, Universitas Dehasen Bengkulu)

Article Info

Publish Date
31 Dec 2021

Abstract

The purpose of implementing Artificial Neural Networks (ANN) with the Learning Vector Quanzition (LVQ) algorithm is to be used as a fingerprint identifier. So with this application can determine who owns the fingerprint in accordance with the database that has. In identifying fingerprints, the Learning Vector Quanzition method is very good, because it can measure the value of a fingerprint image that has been taken either by using a camera or scanner. In identifying fingerprints, it is expected that the fingerprint image input into the database should be from a photo or scanner that has clear and bright results, because this will affect the fingerprint search in the futures.

Copyrights © 2021




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Journal Info
Jurnal Komputer, Informasi dan Teknologi
Website

Abbrev

KOMITEK

Publisher

Indonesian Journal Publisher

Subject

Computer Science & IT Electrical & Electronics Engineering

Description

KOMITEK Journal (Computer, Information and Technology) journal was founded in 2021. It is an interesting and useful national journal for all parties with an interest in research in various fields of, or closely related to, the disciplines of Computer, Information and Technology. KOMITEK Journal aims ...