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Circle Hough Transform (CHT) Method Applied to Coin Identifier and Recognition Based on Computer Vision and Android Developer
Moechammad Sarosa, Nailul Muna, Erfan Rohadi, Mochammad Junus, Awan Setiawan, Izzil Muhiqqin

State Polytechnic of Malang, Soekarno-Hatta Street No. 9, Malang 65141, Indonesia


Abstract

Coin recognition system is a very important role in currency processing systems, which is aims to minimize human miscalculation and time to calculate coin values. Coin identifier and recognition to calculate the value of Indonesian coins based on android developer presented in this paper. There are two coin parameters used for coin recognition including radius and color of the coins. Circle Hough Transform (CHT) is used to calculate radius parameters, based on android developer and computer vision. After the radius value is obtained, the average RGB value of the coins is detected to determine the color parameters. By calculating the diameter and knowing the color, the coins can be recognized and the total value of the coins in the input image can be known. The experimental results show that the system has been obtained indicate that the system successfully recognizes coins based on determined algorithm. That is mean the application using computer vision can recognition coin and count the value of coins.

Keywords: Coin identifier and recognition, Circle Hough Transform (CHT), Calculate value

Topic: Computer Science

Link: https://ifory.id/abstract/tEjeAnrGL4Da

Conference: The 4th Annual Applied Science and Engineering Conference (AASEC 2019)

Plain Format | Corresponding Author (Nailul Muna)

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