Fake currency detection using Image processing

In market fake currency is the most important problem that speaks a lot. Due to the growth of technology, the fake currency production has been increased which degraded the economy of our country. Here the suggested method uses OpenCV to recognize whether the given note is original or fake. It consists of machine learning techniques that are carried out using suitable mechanisms.A fake currency detection method is introduced which uses the edge detection to detect the lines accurately and also accurately detect curves of acceptable notes. [9] Here we use a detector that is trained with the help of stored information which is similar to the one that is to be tested or compared later; within those modules, anchor lines are defined that are further depicted in subsequent test patterns. In order to provide training for the detector in offline a microprocessor is programmed. This is done with an sample currency obtained by scanning given note into our proposed method, here a frame like design is obtained by training image format. Then, notes similar to obtained frame are to be identified. Inside the template, the microprocessor determines anchor lines that are further depicted in that test format; it spin and moves the design before it matches to the training format, so that anchor lines which corresponds to the line can be identified in that trained dataset i.e. the pattern designed; and compares them with the test format to know if those anchor lines lies inside that test format. The system is proposed in a way that it shows if the currency is fake or it is original. We all know that Currency occupies an important place in our existence and hence it is very important for us to check its uniqueness. This system is useful in India because they use the paper currencies more.