DETEKSI PEMALSUAN CITRA SALIN-PINDAH MENGGUNAKAN ALGORITMA BEST BIN FIRST BERDASARKAN CIRI SPEEDED UP ROBUST FEATURE

PUTRA, RIDWAN RAHMA and Fachrurrozi, Muhammad (2018) DETEKSI PEMALSUAN CITRA SALIN-PINDAH MENGGUNAKAN ALGORITMA BEST BIN FIRST BERDASARKAN CIRI SPEEDED UP ROBUST FEATURE. Undergraduate thesis, Sriwijaya University.

	Text RAMA_55201_09111002053_compressed.pdf - Accepted Version Restricted to Repository staff only Available under License Creative Commons Public Domain Dedication. Download (1MB) | Request a copy
Preview	Text RAMA_ 55201_ 09111002053_0222058001_01_front_ref.pdf - Accepted Version Available under License Creative Commons Public Domain Dedication. Download (421kB) | Preview
	Text RAMA_ 55201_ 09111002053_0222058001_02.pdf - Accepted Version Restricted to Repository staff only Available under License Creative Commons Public Domain Dedication. Download (341kB) | Request a copy
	Text RAMA_ 55201_ 09111002053_0222058001_03.pdf - Accepted Version Restricted to Repository staff only Available under License Creative Commons Public Domain Dedication. Download (652kB) | Request a copy
	Text RAMA_ 55201_ 09111002053_0222058001_04.pdf - Accepted Version Restricted to Repository staff only Available under License Creative Commons Public Domain Dedication. Download (568kB) | Request a copy
	Text RAMA_ 55201_ 09111002053_0222058001_05.pdf - Accepted Version Restricted to Repository staff only Available under License Creative Commons Public Domain Dedication. Download (9kB) | Request a copy
	Text RAMA_ 55201_ 09111002053_0222058001_06_ref.pdf - Accepted Version Restricted to Repository staff only Available under License Creative Commons Public Domain Dedication. Download (60kB) | Request a copy
	Text RAMA_ 55201_ 09111002053_0222058001_07_lamp.pdf - Accepted Version Restricted to Repository staff only Available under License Creative Commons Public Domain Dedication. Download (99kB) | Request a copy

Abstract

Digital imagery is very vulnerable to forgery, one kind of image forgery is the copymove forgery. In this research, a method of detecting copy-move forgery in the digital image using Best Bin First algorithm is developed. The input is an image that has been forged by copying an area and pasting it into another area on the same image. Image feature is extracted using Speeded Up Robust Feature by utilizing the integral image to speed up the calculation. The feature extraction results are preprocessed into KD-Tree and matching is sorted by Priority Queue. The amount of sample data used in the experiment is 60 sets of images, consisting of 30 original sets and 30 sets of forged imagery. In each set of digital imagery has been performing various translation, rotation, and scaling operations, JPEG compression and noise addition. Detection experiment of copy-move falsification with test data showed 89.21% success at 0.7 thresholds.

Item Type:	Thesis (Undergraduate)
Uncontrolled Keywords:	Deteksi pemalsuan salin-pindah, Pemalsuan salin-pindah, Speeded Up Robust Feature, Best Bin First
Subjects:	T Technology > T Technology (General) > T58.5-58.64 Information technology > T58.5 General works Management information systems Cf. HD30.213 Industrial management Cf. HF5549.5.C6+ Communication in personnel management Cf. TS158.6 Automatic data collection systems (Production control)
Divisions:	09-Faculty of Computer Science > 55201-Informatics (S1)
Depositing User:	Mr Halim Sobri
Date Deposited:	17 Oct 2019 02:35
Last Modified:	17 Oct 2019 02:35
URI:	http://repository.unsri.ac.id/id/eprint/11867

Actions (login required)

View Item