Classification of Italian Bills by a Competitive Neural Network

Abstract

Automatic classification of bills has become important according to the progress of office automation. This paper is concerned with the new development of bill money classification based on a competitive learning algorithm where Italian Liras are adopted for classification. The Learning Vector Quantization (LVQ) method is used as a competitive learning. Original data of Lira bills may be rotated and/or shifted. We show that the LVQ method could be used effectively to classify the Lira bills under such various conditions.