Dublin Core
Title
Pencocokan Citra Sidik Jari Menggunakan Korelasi Silang Ternormalisasi
Subject
Fingerprint, Normalized Cross-Correlation (NCC), Matching, Region of interest (ROI)
Description
Fingerprint image matching is an important procedure in fingerprint recognition. Robust fingerprint image matching under a variety of different image capture conditions is difficult to achieve, because of changes in finger pressure, variation of the angle, etc. Fingerprint matching is very important for the development of fingerprint system recognition that is sensitive to finger pressure. This paper proposes a fingerprint matching algorithm that enables the so-called fingerprint template (extracted specific part (region of interest (ROI)) of a person’s fingerprints to be matched to the different fingerprint of the same person or different people taken on different time, angle and a different finger pressure using normalized cross-correlation (NCC). This algorithm was implemented in MATLAB. The results showed that the maximum NCC value for ROI of the source fingerprints and targets that was greater than 0.62 indicates a strong correlation or similarity.
Creator
Kanata, Bulkis
Source
Jurnal Rekayasa Elektrika; Vol 11, No 4 (2015); 144-148
2252-620X
1412-4785
Publisher
Universitas Syiah Kuala
Date
2015-09-10
Contributor
Rights
Copyright (c) 2015 Jurnal Rekayasa Elektrika
Relation
http://jurnal.unsyiah.ac.id/JRE/article/view/2405/11_4_4
Format
application/pdf
Language
eng
Type
info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Peer-reviewed Article
Identifier
http://jurnal.unsyiah.ac.id/JRE/article/view/2405
10.17529/jre.v11i4.2405