An Automatic Recognition of Fake Currency Note Using Raspberry Pi

Abstract

Programmed identification and acknowledgment of Indian money note has picked up a ton of research consideration as of late especially because of its inconceivable potential applications. In this paper we present another acknowledgment technique for Indian money utilizing PC vision. It is demonstrated that Indian monetary standards can be grouped in light of an arrangement of one of a kind non separating components, for example, shading, measurement and above all the Identification Mark (remarkable for every category) specified in RBI rules. Right off the bat the prevailing shading and the perspective proportion of the note are separated. After this the division of the segment of the note containing the exceptional I.D. Check is finished. From these divided picture, include extraction is done utilizing Fourier Descriptors. As each note has a one of a kind shape as the I.D. Check, the arrangement of these shapes is finished with the assistance of Artificial Neural Network. After component extraction, the divisions are perceived in light of the created calculation.

Existing System

Proposed System

Architecture

Image 1