Sistem Pengecaman Digit Kanji 1-10 Menggunakan Teknik Pengekstrakan Ciri-Ciri Geometrik

OTHMAN, NUR ZAFIRAH SYAZRAH (0025) Sistem Pengecaman Digit Kanji 1-10 Menggunakan Teknik Pengekstrakan Ciri-Ciri Geometrik. Other thesis, Universiti Teknologi Malaysia.

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Abstract

The ability to identify machine-printed characters in an automated manner has obvious applications in numerous fileds. A major problem with machine-printed Kanji character recognition is the complexity of its features and to distinguish more than one characters which has similarity in its shape and features.This study has succesfully developed a prototype that automatically recognizes individual machine-printed Kanji numbers using a scanner-based input system.The Geometric Feature Extraction method is used to extract the least meaningful local features to match with the standard features to provide eventual recognition.

Item Type: Thesis (Other)
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions: Faculty of Computer Science and Information System > Computer Graphics and Multimedia
Depositing User: Unnamed user with email knizam@utm.my
Date Deposited: 04 Jul 2013 07:09
Last Modified: 04 Jul 2013 07:09
URI: http://ir.fsksm.utm.my/id/eprint/1401

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