Detection of Fake Currency Notes using Image Processing Technique

One issue that comes up in financial transactions is substitute notes. for nations like India, the United States, and several more in Europe. That is attractive a significant barrier. The technology that aid in scanning and printing. With the use of modern equipment, a group of individuals can print and copy notes. Because physically identifying fraudulent cash is a dirty and time-consuming operation, there is a need for automated techniques and software that can quickly identify false money. Here, we present the concept in two straightforward ways: one by analyzing images captured in small spectral bands across a larger band Create spectra over the whole spectral range for each and every pixel in the picture. And the last way is the Extraction of many additional elements in both actual and We can distinguish between authentic and phony cash notes by placing duplicate notes side by side. In our suggested effort, we mix these two and structure the steps forward. The different color lights employed by the are Ultraviolet (UV), light hyper spectrum imaging, normal light emitting diode, green light emitting diode and blue light emitting diode, and red light emitting diode, with diverse wavelengths ranging from 350 nm to 805 nm, corresponding.