Deep Learning and Image Processing-Based Currency Detection

This book summarizes the financial activities are carrying out in every second by many persons in which one most important asset of our country is Banknotes. Fake notes are introduced in the market to create discrepancies in the financial market, even they resemble to the original note. Now days, supervised machine learning (SML) approaches for classification problem is widely used. For medical disease its shows even promising result. Few authors have only applied SML algorithms on bank currency authentication. In this study, there are several things that can be from the results of machine learning using Error Level analysis and Convolutional Neural Network.

Autorentext

Dr. M. Aravind Kumar obtained B. Tech Degree in ECE, M Tech Degree in VLSI System Design from JNTUH, and Ph.D. from GITAM University, Visakhapatnam He is working at the WEST GODAVARI INSTITUTE OF SCIENCE AND ENGINEERING as a Principal. He has 15 years of teaching experience. He is a Life member of FIE, ISTE, TETE, SCIEI, UACEE, and IAENG.