ANALISIS KINERJA METODE NEURAL NETWORK DAN ANT COLONY OPTIMIZATION DALAM PENGENALAN POLA CITRA TANDA TANGAN

KURNIA, JUNIA and Malik, Reza Firsandaya (2020) ANALISIS KINERJA METODE NEURAL NETWORK DAN ANT COLONY OPTIMIZATION DALAM PENGENALAN POLA CITRA TANDA TANGAN. Master thesis, Sriwijaya University.

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Abstract

Pada penerapannya, tanda tangan perlu dilakukan pemeriksaan karena tanda tangan sering kali di tiru atau dipalsukan untuk berbagai macam kepentingan. Tanda tangan yang akan dilakukan pengenalan akan diambil terlebih dahulu ciri-cirinya dengan melakukan proses ekstraksi ciri menggunakan metode Transformasi Gabor Wavelet (TGW). Setelah diekstraksi lalu dilakukan proses pengenalan pola citra tanda tangan menggunakan metode Neural Network dan metode Ant Colony Optimization yang diharapkan dapat meningkatkan hasil akurasi. Hasil penelitian memperlihatkan bahwa pengenalan pola citra tanda tangan yang dilakukan dengan data primer menghasilkan akurasi sebesar 60% menggunakan neural network saja, dan 64% menggunakan neural network dan ant colony optimization. Sedangkan, akurasi menggunakan data sekunder sebesar 66% menggunakan neural network saja, dan 68% menggunakan neural network dan ant colony optimization.

Item Type:	Thesis (Master)
Uncontrolled Keywords:	tanda tangan, pengenalan, neural network, ant colony aptimization
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 > 55101-Informatics (S2)
Depositing User:	Users 6862 not found.
Date Deposited:	05 Aug 2020 04:17
Last Modified:	05 Aug 2020 04:17
URI:	http://repository.unsri.ac.id/id/eprint/32113

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