Fingerprint Identification Using the Hybrid Thresholding and Edge detection for the Room Security

Sumijan, Sumijan and Arlis, Syafri and Widya Purnama, Pradani Ayu (2020) Fingerprint Identification Using the Hybrid Thresholding and Edge detection for the Room Security. TEM Journal, 9 (4). pp. 1396-1400. ISSN 2217-8309

[img]
Preview
Text
Dr Sumijan (Fingerprint Identification Using the Hybrid Thresholding and Edge detection for the Room Security).pdf

Download (995kB) | Preview
Official URL/ URL Asal/ URL DOI: http://doi.org/10.18421/TEM94‐10

Abstract

Biometric technology is an electronic device that scans body parts for security systems using passwords, thus making the biometric system a better choice of a secret room security system. This study combines the hybrid thresholding method and Edge detection to identify fingerprint self-image, to determine the level of similarity of fingerprint images in the database with the fingerprint image of the test. Hybrid thresholding Laplacian of Gaussian and Otsu to get the result of separation between background and object, to identify the fingerprint canny method, the percentage of fingerprint identification results of an average similarity level: 87.94%. The calculation results show a very high degree of accuracy. Keywords – Fingerprints, Secret rooms, Laplacian of Gaussian and Otsu, Canny, Identification.

Item Type: Article
Subjects: 0 Research > Ilmu Komputer > Image Processing
0 Research > Ilmu Komputer > Sistem Pakar
0 Research > Ilmu Komputer > Teknologi Kesehatan
Divisions/ Fakultas/ Prodi: Fakultas Ilmu Komputer
Depositing User: Administrator
Date Deposited: 27 Aug 2021 04:35
Last Modified: 27 Aug 2021 04:35
URI: http://repository.upiyptk.ac.id/id/eprint/2990

Actions (login required)

View Item View Item