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DETEKSI KARAKTER INDIVIDU MELALUI TULISAN TANGAN DENGAN MENGGUNAKAN MULTILAYER PERCEPTRON

WARDANI, ANIS EKO (2011) DETEKSI KARAKTER INDIVIDU MELALUI TULISAN TANGAN DENGAN MENGGUNAKAN MULTILAYER PERCEPTRON. Other thesis, University of Muhammadiyah Malang.

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Abstract

The use of handwriting analysis has been recognized and used as a source of crime data to analyze the case because as accurate as fingerprints and DNA. Handwriting analysis is something unique and different for every individual. The process of handwriting pattern recognition can be performed using an artificial neural network and one of the methods is a multilayer perceptron, where the image that has been patterned in some form will be given training prior to the ANN, so that ANN is capable of recognizing a given pattern. Architecture of multi layer perceptron method gives more accurate results, because the more layers that provide training, the better results provided by ANN. In research that discussed the handwriting pattern recognition to detect individual characters using the ANN. Based on the results of the research data using 6 training data and 30 form letters pattern test sample data with the learning rate used was 0.5 obtained 24 test data can be recognized well by the system with several experiments. From the results of tests on pattern recognition of letters indicates the percentage of success of about 80%.

Item Type: Thesis (Other)
Subjects: T Technology > TA Engineering (General). Civil engineering (General)
Divisions: Faculty of Engineering > Department of Informatics Engineering
Depositing User: Halimatus Zahroh
Date Deposited: 02 Nov 2015 08:31
Last Modified: 02 Nov 2015 08:31
URI : http://eprints.umm.ac.id/id/eprint/19040

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