Perancangan Sistem Identifikasi Tipe Sidik Jari Manusia Menggunakan Matlab
(1) 
(*) Corresponding Author
Abstract
Human fingerprints are unique in this world. This is why human fingerprints are frequently used as a form of identification or self-recognition. Human fingerprints are classified into three categories: whorl, arch, and loop. The wavelet transformation is used because it is capable of identifying discontinuous lines. Because human fingerprints contain discontinuous lines, this method is ideal for recognizing fingerprint images, which are then compared to database images. Additionally, the method of image processing with Matlab software and integration with a GUI (Graphical User Interface) is described, so that it can be used to recognize human fingerprint types.
Keywords
Full Text:
PDFReferences
F. Rahmah, “Image Smoothing Menggunakan Mean Filter untuk Perbaikan Kualitas Citra pada Pengujian Distorsi Kaca Spion,” Jurnal Riset dan Aplikasi Matematika (JRAM), vol. 2, no. 1, 2018, doi: 10.26740/jram.v2n1.p41-49.
F. Rahmah, A. Kusumawardhani, H. Setijono, A. M. Hatta, and . Irwansyah, “Radial line method for rear-view mirror distortion detection,” in International Seminar on Photonics, Optics, and Its Applications (ISPhOA 2014), 2015, vol. 9444. doi: 10.1117/12.2080940.
A. Mcandrew, “An Introduction to Digital Image Processing with Matlab Notes for SCM2511 Image Processing 1,” 2004. [Online]. Available: https://fb.com/tailieudientucntt
M. Palanca, G. Tozzi, and L. Cristofolini, “The use of digital image correlation in the biomechanical area: A review,” International Biomechanics, vol. 3, no. 1. 2016. doi: 10.1080/23335432.2015.1117395.
K. Padmavathi and K. Thangadurai, “Implementation of RGB and grayscale images in plant leaves disease detection - Comparative study,” Indian Journal of Science and Technology, vol. 9, no. 6, 2016, doi: 10.17485/ijst/2016/v9i6/77739.
N. D. Miranda, L. Novamizanti, and S. Rizal, “Convolutional Neural Network pada Klasifikasi Sidik Jari Menggunakan RESNET-50,” Jurnal Teknik Informatika (Jutif), vol. 1, no. 2, 2020, doi: 10.20884/1.jutif.2020.1.2.18.
V. S. Jabade, “Literature Review of Wavelet Based Digital Image Watermarking Techniques,” International Journal of Computer Applications, vol. 31, no. 1, 2011.
D. E. Pratiwi and A. Harjoko, “Implementasi Pengenalan Wajah Menggunakan PCA (Principal Component Analysis),” IJEIS (Indonesian Journal of Electronics and Instrumentation Systems), vol. 3, no. 2, 2013, doi: 10.22146/ijeis.3892.
DOI: http://dx.doi.org/10.30998/string.v6i2.11373
Refbacks
- There are currently no refbacks.
Copyright (c) 2021 Fitri Rahmah
This work is licensed under a Creative Commons Attribution 4.0 International License.
STRING (Satuan Tulisan Riset dan Inovasi Teknologi) indexed by:
Ciptaan disebarluaskan di bawah Lisensi Creative Commons Atribusi 4.0 Internasional.
View My Stats