Abstract
In this paper, the sensor of an optical mouse is presented as a counterfeit coin detector applied to the two-Euro case. The detection process is based on the short distance image acquisition capabilities of the optical mouse sensor where partial images of the coin under analysis are compared with some partial reference coin images for matching. Results show that, using only the vision sense, the counterfeit acceptance and rejection rates are very similar to those of a trained user and better than those of an untrained user.
Highlights
A counterfeit coin is an imitation of a genuine coin made with the intent to defraud
The main advantage of this new approach is the low cost of the optical sensor but the main disadvantage is that the image acquired covers a very small frontal area (1/14 of a two-Euro coin)
This work presents the implementation of a two-Euro counterfeit coin detector based on the image acquisition capabilities of the optical mouse sensor
Summary
A counterfeit coin is an imitation of a genuine coin made with the intent to defraud. In this work a new image-based approach is proposed to detect counterfeit coins. The main advantage of this new approach is the low cost of the optical sensor but the main disadvantage is that the image acquired covers a very small frontal area (1/14 of a two-Euro coin). The system must detect the coins from non EU countries that have similar size and weight to the two-Euro coin. They are not imitations or copies of the two-Euro coin but they are used with the intent to defraud and are considered counterfeit coins in this work.
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