Synopsis.docx

NATIONAL INSTITUTE OF TECHNOLOGY DELHI (An autonomous institute under the aegis of Ministry of HRD Govt. of India)

Narela, Delhi 110040

Project Synopsis:

Fake Currency Detection using Image processing Team: Project Member: Satyendra Kumar Maurya 151220010 ECE 4th Year Contact: 9417428525 [email protected] Project Supervisor: Dr. Rajiv Tripathi (Assistant Professor Department of Electronics and Communication NIT Delhi) [email protected]

Introduction: Due to advancement in technology specifically in colour printing technology, the cases of fake currency generation has risen up. Currency notes are printed in special print houses called mints authorized by govt. But today with the help of laser printers these notes can be printed anywhere that too with very high accuracy. As a result the circulation of fake currency in the market has increased largely specially in developing countries like India. This leads to the design of a technology for automated teller machines and automatic goods seller machines which can automatically detect the currency whether it is fake or not in a less time and more efficient manner. Many techniques have been proposed but they does not work accurately if the note is old, dirty or torn. This project describes an efficient approach to verify Indian currency by extraction of safety features of the currency notes and analysing then using a proper algorithm. MATLAB software is used for this method.

Aim: The project aims at developing a technology for Indian currency notes so that ATMs and vending machines can automatically detect for a counterfeit currency. The method is designed by keeping in mind the safety features used by RBI for Indian currency. The technology of currency recognition basically aims for identifying and extracting the visible and invisible safety features of Indian currency notes and analysing them with a simple algorithm which works efficiently.

Motivation for the project: Throughout history, currency issuers have faced one common threat, the threat of counterfeiting. Despite the introduction of electronic currency, banknotes remain in abundance. The amount of counterfeit currency in circulation at any moment threatens the confidence in the currency. Confidence influences the inherent value and stability of the currency. Banknotes hold higher value than coins making them more susceptible to counterfeiting, and a. higher economical risk. It is observed throughout history opponent societies have used counterfeit currency production of their enemies currency as a weapon. The main motivation behind development of this project was to make a system for easy and quick detection of genuine and fake Indian currency notes. This is a MATLAB based system for automatic recognition of security features of

Indian currency. The cost of the system is reasonable, considering its helpfulness. This project makes use of an effective and efficient image processing techniques and algorithms to provide accurate and reliable results. The developed algorithm works for Indian denominations Rs 500, Rs 2000.

Methodology: The methodology of this system is very simple but effective. The image of the currency notes is acquired by using digital camera. The following algorithm is adopted. 1. 2. 3. 4. 5. 6. 7.

Acquisition of currency note using digital camera. The image taken is of RGB type then converted to grayscale image. Edge detection of whole image. After that characteristic features of notes will be cropped and segmented. After that characteristics features of notes is extracted. Then intensity of each feature is calculated. If the condition is satisfied then the note is original otherwise fake.

In this method, characteristics of currencies are employed which are used by common people for differentiating for different banknote denomination. The characteristics that can be used to check the authentication of currency note are: A. Security Thread: It is a 3mm windowed security thread with inscriptions of India in Hindi, RBI and 2000/500 on banknotes with colour shift. Colour of the thread changes from green to blue when the note is tilted. B. Serial Number: Serial number panel with banknote number growing from small to big on the top left side and bottom right side. C. Latent image: A vertical band on front side of denomination at right hand size. It contains latent image showing numeral of denomination when banknote is held horizontally at eye level.

D. Watermark: The portrait of Mahatma Gandhi, and multidirectional lines and a mark showing the denominational numeral appear which can be viewed when held against light. E. Identification Mark: A mark with intaglio print which can be felt by touch, helps blind person to identify the denomination. In 500 denomination the mark is of five lines while in 2000 line the mark is of seven lines.

Flow Diagram of proposed method:

Image Acquisition

Grayscale Conversion

Edge Detection

Caculation of Intensity

Characteristics Extraction

Image Segmentation

Result

Fig: Flow diagram of method

Start

Display the Intensity

NO

Avg>70

YES Original

Fake

Stop

Fig: Flow chart for decision making

Usefulness of the project: The project will help in detecting counterfeit currency automatically and will help in identifying and removing them from the circulation. Thus making the currency notes more reliable and more trustworthy to use. This will lead to decrease in fake currency in circulation which will help the economy as these fake currency are used as weapons by terrorists and other antisocial groups against a country for their evil desires.