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All Journal Seminar Nasional Aplikasi Teknologi Informasi (SNATI)
Yunita Thedykurnia
Jurusan Teknik Informatika, Fakultas IlmuKomputer, Universitas Pelita Harapan
Computer Science & IT

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PENGENALAN BENTUK DENGAN METODE N-TUPLE DAN FUZZY LOGIC Samuel Lukas; Arnold Aribowo; Yunita Thedykurnia
Seminar Nasional Aplikasi Teknologi Informasi (SNATI) 2010
Publisher : Jurusan Teknik Informatika, Fakultas Teknologi Industri, Universitas Islam Indonesia

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Abstract

Shape recognition is important in digitizing information era. It enables computer system to recognize someshapes. 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 the system are limited to capital letter from A to E, and some plane geometriessuch as square, circle, triangle, hexagon, and rhomboid. The image input is a binary image and processedthrough n-tuple method. Tsukamoto method is used for fuzzy inferencing. The inputs in this fuzzy system aretaken 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 20data for each shapes. From the experiments, capital letter ‘E’ can be recognized 100% correctly. On the otherhand, the least correctly recognized is shape hexagon which is only 60%.Keywords : Shape Recognition, N-tuple Method, Fuzzy Logic
Co-Authors Arnold Aribowo Samuel Lukas