JIKSI (Jurnal Ilmu Komputer dan Sistem Informasi)
Vol 1, No 1 (2013): Jurnal Ilmu Komputer dan Sistem Informasi

KAJIAN TENTANG PENGENALAN KARAKTER MENGGUNAKAN SCALE-INVARIANT FEATURE TRANSFORM

Willian Willian (Unknown)
Lina Lina (Unknown)



Article Info

Publish Date
31 Jan 2013

Abstract

Character recognition is one of the areas of the pattern recognition field that continues to be developed today. Character recognition is a process of recognizing a character independently or based on the similarity with the data that have been there before. Character recognition aimes to allow a system to recognize characters easily and effectively.One method of charater recognition is the Scale-Invariant Feature Transform (SIFT). SIFT is an algorithm that is designed to detect and explain the features of the image, while Mahalanobis Distance and Eulidean Distance is a method used to measure the similarity of an image by measuring the distance between test image and train image. The combined method is designed to achieve high recognition accuracy of a character recognition system.

Copyrights © 2013






Journal Info

Abbrev

jiksi

Publisher

Subject

Computer Science & IT Mathematics Other

Description

Jurnal Ilmu Komputer dan Sistem Informasi (JIKSI) diterbitkan oleh Fakultas Teknologi Informasi Universitas Tarumanagara (FTI Untar) Jakarta sebagai media publikasi karya ilmiah mahasiswa program studi Teknik Informatika dan Sistem Informasi FTI Untar. Karya-karya ilmiah yang dihasilkan berupa hasil ...