Vision-based Precise Cash Counting in ATM Machines

被引：0

作者：

Nia, Hossein Farid Ghassem ^{[1
]}

Hu, Huosheng ^{[1
]}

机构：

[1] Univ Essex, Sch Comp Sci & Elect Engn, Colchester CO4 3SQ, Essex, England

来源：

2014 IEEE INTERNATIONAL CONFERENCE ON MECHATRONICS AND AUTOMATION (IEEE ICMA 2014) | 2014年

关键词：

Vision-based cash counting; Decision making; ATM machines; MULTIPLE CLASSIFIERS; DECISION-MAKING;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

The demand to use ATM machines has increased tremendously worldwide during the last decade. Traditional cash counting in ATM machines is based on the mechanical mechanism that is in touch with cash and may cause some damages from time to time. This paper proposes a novel visual based counting technology for cash counting in ATM machines. To achieve precise counting, intelligent decision making algorithms are deployed to evaluate the counting performance so that the machine will not produce incorrect counts. The experimental results showed that the proposed method can eliminate false positive counts effectively.

引用

页码：521 / 526

页数：6

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