KLASIFIKASI POLA SIDIK JARI MENGGUNAKAN METODE ZERNIKE MOMENT INVARIANT DAN GROWING SELF ORGANIZING MAPS

PENGASIH, DYAH LINDUNG and Samsuryadi, Samsuryadi (2018) KLASIFIKASI POLA SIDIK JARI MENGGUNAKAN METODE ZERNIKE MOMENT INVARIANT DAN GROWING SELF ORGANIZING MAPS. Undergraduate thesis, Sriwijaya University.

Preview	Text RAMA_ 55201_ 09111402019_0004027101_01_front_ref.pdf - Accepted Version Available under License Creative Commons Public Domain Dedication. Download (392kB) | Preview
	Text RAMA_55201_09111402019_compressed.pdf - Accepted Version Restricted to Repository staff only Available under License Creative Commons Public Domain Dedication. Download (1MB) | Request a copy
	Text RAMA_ 55201_ 09111402019_0004027101_02.pdf - Accepted Version Restricted to Repository staff only Available under License Creative Commons Public Domain Dedication. Download (182kB) | Request a copy
	Text RAMA_ 55201_ 09111402019_0004027101_03.pdf - Accepted Version Restricted to Repository staff only Available under License Creative Commons Public Domain Dedication. Download (312kB) | Request a copy
	Text RAMA_ 55201_ 09111402019_0004027101_04.pdf - Accepted Version Restricted to Repository staff only Available under License Creative Commons Public Domain Dedication. Download (397kB) | Request a copy
	Text RAMA_ 55201_ 09111402019_0004027101_05.pdf - Accepted Version Restricted to Repository staff only Available under License Creative Commons Public Domain Dedication. Download (102kB) | Request a copy
	Text RAMA_ 55201_ 09111402019_0004027101_06.pdf - Accepted Version Restricted to Repository staff only Available under License Creative Commons Public Domain Dedication. Download (10kB) | Request a copy
	Text RAMA_ 55201_ 09111402019_0004027101_07_ref.pdf - Accepted Version Restricted to Repository staff only Available under License Creative Commons Public Domain Dedication. Download (43kB) | Request a copy
	Text RAMA_ 55201_ 09111402019_0004027101_08_lamp.pdf - Accepted Version Restricted to Repository staff only Available under License Creative Commons Public Domain Dedication. Download (524kB) | Request a copy

Abstract

The use of fingerprints for building security systems, bank accounts, or cell phone security affects the development of research in the field of fingerprint pattern classification. The general fingerprint pattern classification processes are data acquisition, feature extraction, training and fingerprint pattern classification. The Zernike Moment Invariant (ZMI) and Self Organizing Maps (SOM) methods are two methods that are often used in pairs to classify patterns. SOM has limitations in the process of distributing maps because it is static so that the SOM derivative method is made, namely Growing Self Organizing Maps (GSOM). GSOM is dynamic, making the map distribution process easier and faster than the SOM method, especially when faced with large amounts of data. This study uses the ZMI method in the extraction feature of the fingerprint pattern and the GSOM method in the training process and classification of fingerprint patterns. This study examines 4 values of the Spread Factor (SF) parameters, which are 0.1, 0.4, 0.7, and 0.9. The SF value 0.9 has the highest accuracy of 98.6% with a total of 75 training data and 75 testing data

Item Type:	Thesis (Undergraduate)
Uncontrolled Keywords:	Feature Extraction, Fingerprint Pattern Classification, Growing Self Organizing Maps, Zernike Moment Invariant.
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 03:13
Last Modified:	17 Oct 2019 03:13
URI:	http://repository.unsri.ac.id/id/eprint/11882

Actions (login required)

View Item