Library Automation and Digital Archive
LONTAR
Fakultas Ilmu Komputer
Universitas Indonesia

Pencarian Sederhana

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Call Number SEM-366
Collection Type Indeks Artikel prosiding/Sem
Title Pengenalan bentuk dengan metode N-tuple dan fuzzy logic. (hal. G-42/G-45 )
Author Samuel Lukas,Arnold Aribowo,Yunita Thedykurnia;
Publisher Prosiding nasional aplikasi teknologi informasi 2010 Yogyakarta 19 Juni 2010 (SNATI)
Subject Shape recognition,N-tuple method,fuzzy logic.
Location
Lokasi : Perpustakaan Fakultas Ilmu Komputer
Nomor Panggil ID Koleksi Status
SEM-366 TERSEDIA
Tidak ada review pada koleksi ini: 47616
Shape recognition is important in digitizing information era.I enables computer system to recognize some shapes.The shape could be a picture or a handwriting letter.There are many methods can be applied to do so.This paper presents on how n-tuple method and fuzzy logic sistems can also be implemented. The shapes can be recognized by system are limited to capital letter from A to E,and some plane geometries such as square,circle,triangle,and rhomboid.The image input is a binary image and processed through n-tuple method.Tsukamoto method is used for fuzzy inferencing.The inputs in this fuzzy system are taken from the output of n-tuple method. During the experiments,the system had been trained by 10 data samples for each shape,and then tested by 20 data for each shape.From the experiments,capital letter 'E' can be recognized 100% correctly.On the other hand,the least correctly recognized is shape hexagon which is only 60%. Kata kunci: Shape recognition,N-tuple method,fuzzy logic.