Biometric Detection Technique for Fingerprint Recognition Using Minutiae Detection

Pontoh, Fransisca Joanet; Pontoh, Fransisca Joanet

doi:10.51903/pixel.v17i1.2000

Biometric Detection Technique for Fingerprint Recognition Using Minutiae Detection

Pontoh ; Fransisca Joanet ; Pontoh ; Fransisca Joanet

JURNAL ILMIAH KOMPUTER GRAFIS 📅 2024 Vol 17, No 1 🔗 DOI: 10.51903/pixel.v17i1.2000 ★ 1 Sitasi

Abstract

Fingerprint recognition is a popular biometric technology due to its unique properties and high accuracy rate. Fingerprint recognition systems generally use fingerprint image representations, such as grayscale images, phase images, skeleton images, and minutiae. In this research, fingerprint image pre-processing is performed using Gaussian Blur, Median Blur, Thresholding, Otsu Thresholding, Thinning with Guo-Hall algorithm, and Minutiae Detection. Minutiae detection produces 426 termination points and 459 bifurcation points. The results of the pre-processing and minutiae detection were then used for minutiae matching on 5 different images. Minutiae matching produces varying degrees of similarity with a high level of accuracy, reaching an average accuracy of 88.80%.

Keywords

Fingerprint Feature Extraction Minutiae Biometric; Sidik Jari Ekstraksi Fitur Minutiae Biometrik

How to Cite

Pontoh, et al. (2024). Biometric Detection Technique for Fingerprint Recognition Using Minutiae Detection. JURNAL ILMIAH KOMPUTER GRAFIS, 17(1). https://doi.org/10.51903/pixel.v17i1.2000

Pontoh, Fransisca Joanet; Pontoh, Fransisca Joanet, "Biometric Detection Technique for Fingerprint Recognition Using Minutiae Detection," JURNAL ILMIAH KOMPUTER GRAFIS, vol. 17, no. 1, 2024.

Pontoh, Fransisca Joanet; Pontoh, Fransisca Joanet. "Biometric Detection Technique for Fingerprint Recognition Using Minutiae Detection." JURNAL ILMIAH KOMPUTER GRAFIS, vol. 17, no. 1, 2024.

Pontoh, Fransisca Joanet; Pontoh, Fransisca Joanet. "Biometric Detection Technique for Fingerprint Recognition Using Minutiae Detection." JURNAL ILMIAH KOMPUTER GRAFIS 17, no. 1 (2024).

Pontoh, et al. (2024) 'Biometric Detection Technique for Fingerprint Recognition Using Minutiae Detection', JURNAL ILMIAH KOMPUTER GRAFIS, 17(1). doi: 10.51903/pixel.v17i1.2000.

Pontoh, Fransisca Joanet; Pontoh, Fransisca Joanet. Biometric Detection Technique for Fingerprint Recognition Using Minutiae Detection. JURNAL ILMIAH KOMPUTER GRAFIS. 2024;17(1).

Penguatan Digital Marketing Percetakan Kasandi Foil Pond Dalam Mengoptimalkan Jangkauan Pasar Dan Penjualan

Ayuningtyas Kasandi; Ayuningtyas Kasandi; Sulartopo; Aris Sarwo Nugroho

Perkembangan Metode Image Quality Assessment Berbasis Deep Learning: A Systematic Literature Review terhadap Tren dan Evaluasi Performa

Nurul, Amelia; Nurul, Amelia; Nuralvianti, Regita

Perancangan Video Profil SD Negeri 3 Bentangan Sebagai Media Promosi dan Informasi

Hendrawan Tama, Theo; Rudjiono, Daniel; Priyadi, Agus; Hendrawan Tama, Theo; Rudjiono, Daniel; Priyadi, Agus

Performance Comparison of SARIMA and Prophet Models for Forecasting Indonesian Banking Stock Prices

Abdullah, Syarifudin; Ida Bagus Nyoman Pascima; I Nyoman Tri Anindia Putra

Media Visual Poster Digital Untuk Kebersamaan Karyawan PT Mensa BinaSukses

Malise Elvina Benita Christianti, Malise Elvina Benita Christianti; Fitro Nur Hakim, Fitro Nur Hakim; Haryo Kusumo, Haryo Kusumo

ANALISIS ELEMEN DESAIN DAN SEMIOTIKA VISUAL KONTEN INSTAGRAM @DISPAREKRAFPORA_GORONTALOPROV DALAM MEMBANGUN IDENTITAS PARIWISATA GORONTALO

Risti Puspita Sari Hunowu; Hunowu, Risti Puspita Sari ; Siska Udilawaty; Hinta, Mohammad Rizki Putra

Tren Sitasi Jurnal