A Paper Currency Recognition System with Novel Features
نویسنده
چکیده
One simple method of recognizing paper currencies has been introduced. It considers different dimensions, areas, Euler numbers, correlations between images as features. It uses Weighted Euclidean Distance for classification. The method uses the case of Saudi Arabian paper currency as a model currency under consideration. It uses fifth series of currency, issued by Saudi Arabian Monetary Agency (SAMA), as a model currency under consideration. It produces quite satisfactory results in terms of recognition and efficiency.
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