In order to obtain the dissimilarity between two coin images, the local keypoints on each image are detected and described. Based on the characteristics of the coin, the matched keypoints between the two images can be identified in an efficient manner.
Jan 20, 2017 · We propose a new approach to detect fake coins using their images in this paper. A coin image is represented in the dissimilarity space, ...
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We propose a new approach to detect fake coins using their images in this paper. A coin image is represented in the dissimilarity space, which is a vector ...
A new approach to detect fake coins using their images in this paper, where only genuine coins are needed to train the classifier and the matched keypoints ...
May 1, 2017 · We propose a new approach to detect fake coins using their images in this paper. A coin image is represented in the dissimilarity space, ...
Abstract – Resent years fake coin has same resemblance of their genuine counterparts so we purpose a new approach to detect a fake coins using their image ...
Mar 5, 2024 · A framework for image-based counterfeit coin detection using pruned fuzzy associative classifier · Abstract · Introduction · Section snippets.
Jun 20, 2023 · Abstract— This research presents a novel framework for detecting counterfeit coins by leveraging the effectiveness of image mining techniques.
Mar 22, 2024 · Development of a simple and non-destructive examination for counterfeit coins using acoustic characteristics. Mototsugu Suzuki. 2008, Forensic ...
Abstract— Nowadays, illegal counterfeit coins are considerably affecting the financial transactions in society. This work proposes an efficient image based ...