利用图像处理技术检测印度假币

2022 International Conference on Augmented Intelligence and Sustainable Systems (ICAISS) Pub Date : 2022-11-24 DOI:10.1109/ICAISS55157.2022.10010580

S. M. Asha Banu, S. Sandhya, T. V. Sundari, P. R. Shri Ranjani

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引用次数: 1

摘要

本文利用MATLAB进行图像处理，对假钞进行检测。本项目旨在提供最佳的图像采集和图像分割技术。这项工作使用CANNY的算法来更有效地提取音符的特征。图像处理算法用于提取选项。这里使用的技术适用于最近推出的500和2000面额的纸币。建议的策略提供了一种检测假币的实用方法，该方法得到了实物检查的支持。

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Detection of Indian Fake Currency using Image Processing

The fake currency notes are detected using image processing employing MATLAB in this paper. This project aims in providing the best techniques in image acquisition, and image segmentation. The work uses CANNY's algorithm to extract the notes' features much more effectively. Algorithms for image processing are used to extract the options. The technique used here functions well with the recently introduced denominations of 500 and 2000. The recommended strategy provides a practical means of detecting fake currency that is supported by physical inspection.

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2022 International Conference on Augmented Intelligence and Sustainable Systems (ICAISS)

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