• Title/Summary/Keyword: Black-state error rate

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Determination of Optimal Combination of Optical Filter for Recognizing Financial Account Using Statistical Analysis (통계적 분석에 의한 금융통장 인식용 광학필터 최적 조합 선정에 관한 연구)

  • Yu, Hyeung Keun;Lee, Kang Won
    • Journal of the Korean Institute of Electrical and Electronic Material Engineers
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    • v.27 no.5
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    • pp.328-341
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    • 2014
  • The object of this paper is to develop optimal optical filter, which can be used to identify the financial account and read the information. The five factors which affect the performance of the optical filter are identified as optical glass type, existence of Fe, Photo pic coating type, and coating form. In this study we seek to determine the optimal combination for the best design of the optical filter. For each combination, the performances of optical filter are investigated using the proper experimental equipments and methods. White-state voltage, black-state voltage, and black-state error rate are used for the performance measures. Through the statistical analysis of the performance data collected, we have determined the optimal design of the optical filter.

Optimal Design of Optical Filter Recognizing Financial Account with Multiple Attribute Using Analytic Hierarchy Process (계층적 분석 과정을 이용한 다중 속성의 금융통장 인식용 광학 필터의 최적 설계)

  • Yu, Hyeung Keun;Lee, Kang Won
    • Journal of the Korean Institute of Electrical and Electronic Material Engineers
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    • v.27 no.6
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    • pp.407-416
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    • 2014
  • Five factors are identified, which affect the performance of optical filter: 1) type of optical glass, 2) existence of Fe, 3) photo pic coating type, 4) coating form, and 5) coating thickness. If we consider all the levels of five factors, there are 360 possible candidates. We determined five evaluation criteria, which can be used to evaluate possible candidates. For the performance measures we selected white-state avearge voltage, black-state average voltage, and black-state error rate. And we added economic criterion and quality and maintenance criterion. Through the two-step statistical analysis of white-state avearge voltage, black-state average voltage, and black-state error rates, we selected final four candidates. Based on the five criteria we finally determined optimal optical filter using AHP.