INDIAN BANK CURRENCY RECOGNITON AND FITNESS USING IMAGE PROCESSING
1Maria Nancy.J.S, Dr.J.Mohana
To count currency as soon as possible for the bank staffs that implementation in the financial organizations, paper recognition and classification system has created as one of the most important applications of pattern in recognition system. Features extraction using Gray Level Co-occurrence Matrix directly affects the recognition ability. A method and model for automatic classification and recognition of currency notes using Supervised Learning classifier that is the most important and simplest method in pattern recognition. In this paper, we are going to implement based on textural feature such as GLCM. The recognition system is classified into four types. The skew correction of an gray image is first. The captured input gray image is second preprocessing and the third method is nothing but extracting its features by using Gray Level Co Occurrence Matrix. The recognition system presented that the approach is one of the most effective method of recognizing currency pattern to read its value.
Genuine, Fake, Currency, GLCM, Dilation, Erosion, Image Processing