Article Per Year (5 Year)
p-Index From 2020 - 2025
0.444
P-Index
This Author published in this journals
All Journal Majalah Ilmiah Teknologi Elektro Jurnal Bakti Nusa Jurnal Rekayasa elektrika Majalah Ilmiah Teknologi Elektro
Bulkis Kanata
Universitas Mataram
Humanities Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Electrical & Electronics Engineering Energy Engineering Languange, Linguistic, Communication & Media Library & Information Science

Published : 8 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 2 Documents
Search
Journal : Jurnal Rekayasa elektrika

 1 
Pencocokan Citra Sidik Jari Menggunakan Korelasi Silang Ternormalisasi Bulkis Kanata
Jurnal Rekayasa Elektrika Vol 11, No 4 (2015)
Publisher : Universitas Syiah Kuala

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1484.08 KB) | DOI: 10.17529/jre.v11i4.2405

Abstract

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. 
Pencocokan Citra Sidik Jari Menggunakan Korelasi Silang Ternormalisasi Bulkis Kanata
Jurnal Rekayasa Elektrika Vol 11, No 4 (2015)
Publisher : Universitas Syiah Kuala

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17529/jre.v11i4.2405

Abstract

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. 
Co-Authors Agung Budi Mulyono I Made Ari Nrartha I Made Ary Swantika I Made Budi Suksmadana I Made Ginarsa Sudi Mariyanto Al Sasongko Sultan Sultan Teti Zubaidah