ニューロ多国籍紙幣識別における多次元ガウス密度関数による目的外紙幣の排除法 A Rejecting Method of Non-objective Currencies using Multi-Dimensional Gaussian Probability Density Function for Neuro-Multi National Currency Recognition

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抄録

We have proposed neural network (NN) to develop new types of the paper currency recognition machines. We have showed various effectiveness of NN recognition method by experimental results. However, there are two themes on the paper currency recognition problem. One is the correct recognition of the objective currency. Another is the rejection of non-objective currencies. Conventionally, we use the template matching method as a post processor to reject the non-objective currencies. However, even objective currency is sometimes rejected by this conventional method owing to its terrible damage. In this paper, to solve this problem, we propose a rejecting method of the non-objective currencies by multi-dimensional Gaussian Probability Density Function (PDF). First, we estimate the PDF of currency vector as the multi-dimensional Gaussian PDF. Second, we get the function value and judge the evaluated currency as the objective one or not by this value. Here, we show the effectiveness of the proposed method using multiple national currencies. Furthermore, we implement the proposed method to the experimental system and discuss the effectiveness on a real time system.

収録刊行物

  • 電気学会論文誌. D, 産業応用部門誌 = The transactions of the Institute of Electrical Engineers of Japan. D, A publication of Industry Applications Society  

    電気学会論文誌. D, 産業応用部門誌 = The transactions of the Institute of Electrical Engineers of Japan. D, A publication of Industry Applications Society 118(12), 1361-1369, 1998-12-01 

    The Institute of Electrical Engineers of Japan

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被引用文献:  4件

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各種コード

  • NII論文ID(NAID)
    10002727570
  • NII書誌ID(NCID)
    AN10012320
  • 本文言語コード
    JPN
  • 資料種別
    ART
  • ISSN
    09136339
  • NDL 記事登録ID
    4612066
  • NDL 雑誌分類
    ZN31(科学技術--電気工学・電気機械工業)
  • NDL 請求記号
    Z16-1608
  • データ提供元
    CJP書誌  CJP引用  NDL  J-STAGE 
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