扫描式磁相机对金属硬币的鉴别

Jongwoo Jun, Jinyi Lee, Jaesun Lee
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引用次数: 0

摘要

来自不同国家的大小和重量相似的硬币可能被用于犯罪,因为它们的经济价值可能相差很大。该算法采用扫描磁相机,在NiZn铁氧体晶片上使用线性集成的64 InSb霍尔传感器阵列(LIHaS)和复杂感应电流漏磁法(ic - mfl),可用于区分这些硬币。硬币由顺磁性金属或磁性结合金属组成。测量每个硬币周围1mm的磁场分布,并使用#&240;VRMS/#&240;x项进行处理。为了区分硬币,可以应用峰距和#&240;VRMS/#&240;x的综合绝对最小值。为了验证该算法,研究人员对来自10个国家的43种不同面值的85枚硬币的170个案例进行了研究。鉴别概率为90.7%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The Discrimination of Metallic Coins Using a Scan Type Magnetic Camera
Coins from different countries having similar sizes and weights could be used in a crime because they may have a large difference in economic value. An algorithm, which can be used to discriminate these coins, employs a scanning magnetic camera, which uses a linearly integrated 64 InSb Hall sensor array (LIHaS) on a NiZn ferrite wafer and a complex induced current-magnetic flux leakage method (CIC-MFL). The coins consist of paramagnetic metals or magnetically combined metals. The distribution of the magnetic field around each coin was measured at a lift-off of 1mm, and processed by using the #&240;VRMS/#&240;x term. It is possible to apply the peak-distances and the integrated absolute minimum values of #&240;VRMS/#&240;x in order to discriminate the coins. 170 cases that used 85 coins of 43 different denominations from 10 countries were examined to verify the proposed algorithm. The discrimination probability was 90.7 %.
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