Perpustakaan Fakultas Ilmu Komputer

Call Number	SEM 304
Collection Type	Indeks Artikel prosiding/Sem
Title	Performance comparison analysis features extraction methods for batik recognition
Author	Ida Nurhaida, Ruli Manurung, Aniati Murni Arymurthy;
Publisher	2012 International conference on advanced computer science and information systems (ICACSIS 2012) Depok, December 1st and 2nd 2012 Crystal of knowledge building Universitas Indonesia
Subject
Location

Lokasi : Perpustakaan Fakultas Ilmu Komputer

Nomor Panggil	ID Koleksi	Status
SEM 304		TERSEDIA

Tidak ada review pada koleksi ini: 40382

Batik, as a cultural beritage from Indonesia, has a lot of motifs based on certain patterns. This paper discausses feture extraction methods for the recognition of batik motifs in digital images. In this study, the use of several feature extraction methods have been compared in terms of their performance with several scenarios for testing level accuracy. The methods include Gray level Co-occurrence matrices (GLCM), Canny edge detection , and Gabor filters. The experimental result show that the use of GLCM features has performed the best with a classification accuracy reaching 80 %.