Euro Banknote Recognition System Using a Three-layered Perceptron and RBF Networks

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概要

• 論文の詳細を見る

• We propose an Euro banknote recognition system using two types of neural networks; a three-layered perceptron and a Radial Basis Function (RBF) network. A three-layered perceptron is well known method for pattern recognition and is also a very effective tool for classifing banknotes. An RBF network has a potential to reject invalid data because it estimates the probability distribution of the sample data. We use a three-layered perceotron for classification and several RBF networks for validation. The proposed system has two advantages over the system using only one RBF network. The feature extraction area can be simply defined. And the calculation cost does not increase when the number of classes increases. We also propose to use infra-red (IR) and visible images as input data to the svstem since Euro banknotes have quite significant features in IR images. We have tested our system in terms of acceptance rates for valid banknotes and rejection rates for invalid data.

• 2003-05-15

著者

• Takefuji Yoshiyasu

  Faculty Of Environmental Information Keio University

• Kikuchi T

  Software Service Department Toyo Communication Equipment Co. Ltd.

• Masato Aoba

  Graduate School Of Media And Governance Keio University

• KIKUCHI TETSUO

  Software Service Department, TOYO Communication Equipment Co., Ltd.

• TAKEFUJI YOSHITASU

  Faculty of Environmental Information, Keio University

• Takefuji Yoshitasu

  Faculty Of Environmental Information Keio University

• Aoba Masato

  Graduate School of Media and Governance, Keio University

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