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Medicine Tablet Authentication Using 'Fingerprints' of Ink-Jet Printed Characters

机译:使用“指纹”的喷墨印刷字符使用“指纹”的药片认证

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Counterfeit drugs have been a serious problem causing damage to people's health over the world. Numerous anti-counterfeiting methods based on tagging have been proposed; however, they suffer from three major issues: (1) tagging is applicable only to packages, not tablets directly; (2) end-users, i.e., patients, cannot inspect the tags; (3) tagging incurs extra costs for manufacturers. This paper describes a new method that we propose for authenticating individual medicine tablets as-is by matching images of printed characters. The printed characters on individual tablets of the same medicine seem the same to human eyes, but each is characterized by tiny unique differences. The contributions of this paper are: (a) to reveal the uniqueness of the characters printed by an actual pharmaceutical-use machine and (b) to propose a practical system to identify individual tablets using image matching. Our system is useful for any patients who want to authenticate a medicine tablet at hand: it only requires a picture with a smartphone camera. Our system is also useful for medicine manufacturers, because the database can be constructed using the existing manufacturing process without incurring additional cost. Our image matching algorithm recognizes very detailed features of the images and is accurate and fast even for a large-scale database. In conducted experiments, 1,000 sample tablets were captured using the same optical setup as an actual medicine manufacturing machine. Obtained results showed that 100% accuracy in individual tablet authentication was achieved.
机译:假冒药物是一个严重的问题,造成对世界上人们的健康造成损害。已经提出了基于标记的许多防伪方法;但是,他们患有三个主要问题:(1)标记仅适用于包装,而不是直接的平板电脑; (2)最终用户,即患者,不能检查标签; (3)标记制造商的额外费用。本文介绍了一种新的方法,我们建议以匹配印刷人物的图像来验证个体药片。对同一药物的单个片剂上的印刷人物看起来与人眼相同,但每个人的特点是微小的独特差异。本文的贡献是:(a)揭示由实际药用机器和(b)印刷的字符的独特性,以提出使用图像匹配识别单个片剂的实用系统。我们的系统对任何想要验证药片的患者有用:它只需要带有智能手机相机的图片。我们的系统对药店也很有用,因为可以使用现有的制造过程构建数据库,而不会产生额外的成本。我们的图像匹配算法识别图像的非常详细的功能,即使对于大规模数据库,也可以准确且快速。在进行实验中,使用与实际药物制造机器相同的光学设置捕获1,000片样片。得到的结果表明,实现了各个平板鉴定的100%精度。

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