Department of Computer Science and Industrial Engineering, University of Lleida, Jaume II, 69, 25001 Lleida, Spain; E-Mails:
Sensors (Basel). 2009;9(9):7083-96. doi: 10.3390/s90907083. Epub 2009 Sep 4.
In this paper, the sensor of an optical mouse is presented as a counterfeit coin detector applied to the two-Euro case. The detection process is based on the short distance image acquisition capabilities of the optical mouse sensor where partial images of the coin under analysis are compared with some partial reference coin images for matching. Results show that, using only the vision sense, the counterfeit acceptance and rejection rates are very similar to those of a trained user and better than those of an untrained user.
本文提出了一种将光学鼠标传感器用作欧元硬币检测的伪造币检测器。检测过程基于光学鼠标传感器的短距离图像采集能力,其中对分析中的硬币的部分图像与一些部分参考硬币图像进行比较以进行匹配。结果表明,仅使用视觉感应,伪造币的接受和拒绝率与受过训练的用户非常相似,并且优于未受过训练的用户。