VERIFIKASI TELAPAK TANGAN MENGGUNAKAN MOMENT INVARIANTS DAN LEARNING VECTOR QUANTIZATION 2

WIDIANTO, ADI and Samsuryadi, Samsuryadi (2019) VERIFIKASI TELAPAK TANGAN MENGGUNAKAN MOMENT INVARIANTS DAN LEARNING VECTOR QUANTIZATION 2. Undergraduate thesis, Sriwijaya University.

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Abstract

Telapak tangan merupakan biometrik yang bersifat unik, memiliki tekstur dan struktur yang stabil. Telapak tangan memiliki ciri garis utama dan garis kusut, bahkan berbeda antara telapak tangan kanan dan kiri. Penelitian ini melaporkan akurasi verifikasi telapak tangan dengan ekstraksi ciri Zernike Moment Invariant (ZMI) dan United Moment Invariant (UMI), yang dipadukan dengan pembelajaran Learning Vector Quantization 2 (LVQ2). Penelitian ini menggunakan data dari IIT Delhi Touchless Palmprint Image Database version 1.0 sebanyak 80 orang yang terdiri dari masing-masing 6 citra telapak tangan kanan dan kiri. Hasil verifikasi telapak tangan menggunakan metode ZMI-LVQ2 dan UMI-LVQ2 tertinggi 100% pada α masing-masing sebesar 0,9 dan 0,1, serta lebih tinggi dari beberapa penelitian sebelumnya. Kata Kunci: deteksi tepi, verifikasi telapak tangan, Zernike Moment Invariant, United Moment Invariant, Learning Vector Quantization 2.

Item Type: Thesis (Undergraduate)
Uncontrolled Keywords: Pengenalan Pola, Pengolahan Citra
Subjects: Q Science > Q Science (General) > Q334-342 Computer science. Artificial intelligence. Algorithms. Robotics. Automation.
T Technology > TA Engineering (General). Civil engineering (General) > TA1501-1820 Applied optics. Photonics > TA1632.B35 Image processing--Digital techniques. Pattern recognition systems
Divisions: Faculty of Computer Science > 55201-Informatics (S1)
Depositing User: Adi Widianto
Date Deposited: 03 Jan 2020 04:02
Last Modified: 03 Jan 2020 04:02
URI: http://repository.unsri.ac.id/id/eprint/22936

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