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.

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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

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