System Implementation of Paper Currency Discrimination by Using Integrated Image Features


The KIPS Transactions:PartB , Vol. 9, No. 4, pp. 471-480, Aug. 2002
10.3745/KIPSTB.2002.9.4.471,   PDF Download:

Abstract

In this paper, we implemented a real-time system improving the performance of the paper currency discrimination by integrating a weighted region of interest matching algorithm with a weighted shape feature matching algorithm of the blocked image. The system classifies the paper currency by comparing a query image with compared images based on the database that contain images of paper currency. Especially, the system has good efficiency at the contaminated, rotated, and translated paper currency. The system hardware consists of three parts as follows : the paper currency image acquired by CIS(contact image sensor) is applied to the pre-processing part with A/D converter and PLD. Finally the pre-processed image data are classified by the main image processing part with a high-speed DSP based on the proposed algorithm.


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Cite this article
[IEEE Style]
H. I. Kang and T. W. Choi, "System Implementation of Paper Currency Discrimination by Using Integrated Image Features," The KIPS Transactions:PartB , vol. 9, no. 4, pp. 471-480, 2002. DOI: 10.3745/KIPSTB.2002.9.4.471.

[ACM Style]
Hyun Inn Kang and Tae Wan Choi. 2002. System Implementation of Paper Currency Discrimination by Using Integrated Image Features. The KIPS Transactions:PartB , 9, 4, (2002), 471-480. DOI: 10.3745/KIPSTB.2002.9.4.471.