PENDETEKSIAN DUPLIKASI WILAYAH FOTO DIGITAL MENGGUNAKAN SCALE INVARIANT FEATURE TRANSFORM DAN NEAREST NEIGHBOR

ANUGRAH, ADHITYAH and Samsuryadi, Samsuryadi and Satria, Hadipurnawan (2016) PENDETEKSIAN DUPLIKASI WILAYAH FOTO DIGITAL MENGGUNAKAN SCALE INVARIANT FEATURE TRANSFORM DAN NEAREST NEIGHBOR. Undergraduate thesis, Sriwijaya University.

[thumbnail of RAMA_55201_09111002035.pdf] Text
RAMA_55201_09111002035.pdf - Accepted Version
Restricted to Repository staff only
Available under License Creative Commons Public Domain Dedication.

Download (6MB) | Request a copy
[thumbnail of RAMA_55201_09111002035_0004027101_0004027101_01_front_ref.pdf]
Preview
Text
RAMA_55201_09111002035_0004027101_0004027101_01_front_ref.pdf - Accepted Version
Available under License Creative Commons Public Domain Dedication.

Download (1MB) | Preview
[thumbnail of RAMA_55201_09111002035_0004027101_0004027101_02.pdf] Text
RAMA_55201_09111002035_0004027101_0004027101_02.pdf - Accepted Version
Restricted to Repository staff only
Available under License Creative Commons Public Domain Dedication.

Download (697kB) | Request a copy
[thumbnail of RAMA_55201_09111002035_0004027101_0004027101_03.pdf] Text
RAMA_55201_09111002035_0004027101_0004027101_03.pdf - Accepted Version
Restricted to Repository staff only
Available under License Creative Commons Public Domain Dedication.

Download (1MB) | Request a copy
[thumbnail of RAMA_55201_09111002035_0004027101_0004027101_04.pdf] Text
RAMA_55201_09111002035_0004027101_0004027101_04.pdf - Accepted Version
Restricted to Repository staff only
Available under License Creative Commons Public Domain Dedication.

Download (2MB) | Request a copy
[thumbnail of RAMA_55201_09111002035_0004027101_0004027101_05.pdf] Text
RAMA_55201_09111002035_0004027101_0004027101_05.pdf - Accepted Version
Restricted to Repository staff only
Available under License Creative Commons Public Domain Dedication.

Download (80kB) | Request a copy
[thumbnail of RAMA_55201_09111002035_0004027101_0004027101_06_ref.pdf] Text
RAMA_55201_09111002035_0004027101_0004027101_06_ref.pdf - Accepted Version
Restricted to Repository staff only
Available under License Creative Commons Public Domain Dedication.

Download (154kB) | Request a copy
[thumbnail of RAMA_55201_09111002035_0004027101_0004027101_07_lamp.pdf] Text
RAMA_55201_09111002035_0004027101_0004027101_07_lamp.pdf - Accepted Version
Restricted to Repository staff only
Available under License Creative Commons Public Domain Dedication.

Download (447kB) | Request a copy

Abstract

Copy – move forgery is one of digital photo forgery techniques that is hard to detect by naked eyes, because the forged part came from the same digital photo and blended with the background, especially when rotation and scaling were performed to the forged parts. In this research it is proposed a system to detect fake digital photos, which are original digital photos that has been tempered with copy – move forgeries involving process of translation, rotation or scaling. The input image is a RGB (Red, Green, and Blue) color digital photo that come from CoMoFoD database. At first, the input image is pre-processed into a grayscale image. Then, a feature extraction process is carried out by using Scale Invariant Feature Transform that produce a set of keypoint. After keypoints are found, then the matching process is performed by Nearest Neighbor method, where each keypoint is matched to each other to get the closest distance by using Euclidean Distance and Canberra Distance. The software in this research is developed using the Rational Unified Process method. The experiment and observation results shows that the accuracy of using Nearest Neighbor method with Canberra Distance is higher than the Nearest Neighbor with Euclidean Distance. Overall, fake digital photo with the type of translation is easier to detect than the type of rotation and scalin.

Item Type: Thesis (Undergraduate)
Uncontrolled Keywords: Pemalsuan foto digital, Deteksi Pemalsuan Salin – Pindah, Scale Invariant Feature Transform, Euclidean Distance, Canberra Distance.
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: 14 Jan 2020 03:13
Last Modified: 14 Jan 2020 03:13
URI: http://repository.unsri.ac.id/id/eprint/23990

Actions (login required)

View Item View Item