PENGENALAN KARAKTER TULISAN TANGAN MENGGUNAKAN AFFINE MOMENT INVARIANT DAN SELF ORGANIZING MAPS

RAFANDHA, BIMO and Samsuryadi, Samsuryadi (2018) PENGENALAN KARAKTER TULISAN TANGAN MENGGUNAKAN AFFINE MOMENT INVARIANT DAN SELF ORGANIZING MAPS. Undergraduate thesis, Sriwijaya University.

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Abstract

Handwriting characters recognition is an area of recognition process that has become an interesting research subject. The problem in handwriting character recognition is the characteristic of each character that is similar so that it is often incorrectly recognized by the computer. To overcome these problems developed handwriting character recognition software that can recognize characters well. In this research, software that can perform handwriting recognition developed using Affine Moment Invariant (AMI) method and Self Organizing Maps (SOM). The input of this software is a handwritten character image. The image will go through a pre-processing process using binarization. The features of the binary image be captured using AMI which yield 4 values and trained using SOM to get the best weights used during the character recognition. The result of handwriting character recognition using SOM is of the 1240 character images tested obtained an accuracy of 86.75%.

Item Type:	Thesis (Undergraduate)
Uncontrolled Keywords:	Affine Moment Invariant, Character Recognition, Handwriting Character, Self Organizing Maps.
Subjects:	Q Science > Q Science (General) > Q1-390 Science (General) > Q223.M517 Science -- Information services. Information storage and retrieval systems --Science.
Divisions:	09-Faculty of Computer Science > 55201-Informatics (S1)
Depositing User:	Mrs Sri Astuti
Date Deposited:	27 Sep 2019 03:20
Last Modified:	27 Sep 2019 03:21
URI:	http://repository.unsri.ac.id/id/eprint/9067

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