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Machine Assisted Authentication of Paper Currency: an Experiment on Indian Banknotes

机译:纸币的机器辅助认证:一种实验  印度钞票

摘要

Automatic authentication of paper money has been targeted. Indian bank notesare taken as reference to show how a system can be developed for discriminatingfake notes from genuine ones. Image processing and pattern recognitiontechniques are used to design the overall approach. The ability of the embeddedsecurity aspects is thoroughly analysed for detecting fake currencies. Realforensic samples are involved in the experiment that shows a high precisionmachine can be developed for authentication of paper money. The systemperformance is reported in terms of both accuracy and processing speed.Comparison with human subjects namely forensic experts and bank staffs clearlyshows its applicability for mass checking of currency notes in the real world.The analysis of security features to protect counterfeiting highlights somefacts that should be taken care of in future designing of currency notes.
机译:纸币的自动认证已成为目标。以印度钞票为参考,以说明如何开发一种系统来区分假钞和真钞。图像处理和模式识别技术用于设计整体方法。全面分析了嵌入式安全方面的功能,以检测假币。实验中使用了真实取证样本,该样本表明可以开发出一种用于鉴别纸币的高精度机器。该系统的性能在准确性和处理速度两方面均得到了报告。与人类研究人员(即法医专家和银行工作人员)的比较清楚地表明了其在现实世界中大规模检查纸币的适用性。对保护伪造的安全特征的分析突出了一些应有的事实。在将来的纸币设计中要注意。

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