Library Automation and Digital Archive
Fakultas Ilmu Komputer
Universitas Indonesia

Pencarian Sederhana

Find Similar Add to Favorite

Call Number SEM - 362
Collection Type Indeks Artikel prosiding/Sem
Title Pattern recognitioon using discrate wavelet transformation and fuzzy adaptive resenance theory ( hal 29 - 32 )
Author Arnold Aribowo, Samuel Lukas, Joannes Franciscus;
Publisher Proceedings ICSIIT 2010: International conference on soft computing intelligent system and information technology 1-2 July 2010 Bali Indonesia
Subject discrete wavelet transformation, fuzzy adaptive resonance theory
Lokasi : Perpustakaan Fakultas Ilmu Komputer
Nomor Panggil ID Koleksi Status
Tidak ada review pada koleksi ini: 47823
with many types and variantions of existing patterns and also needs of the high recognition process becomes very important and crucial. many recognition techniques are developed to reach a similar ability with human capabilities in processing data. this paper elaborates the design of software to perform patterns recognition by using wavelet discrete transformation and fuzzy adaptive resonance theory. at the beginning, the system captures the image pattern. then, the system uses image processing techniques including wavelet discrete transformation to enhance rhe quality of the image pattern. finally, the result o information is used as an input of the fuzzy adaptive resonance theory for classifying the pattern. from the expriments , with the learning parameter value of and vigilance parameter is set to 0.87, the system reached highest accuracy of the untrained patterns recognition with 91.66% succes rate. the system also obtains a perfect match for theh trained data using the learning rate of i and various vigilance parameters.