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High Protection ATM Security Using Image Processing

High Protection ATM Security Using Image Processing

Price : 10000

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Course Duration
Approx 10

Course Price
₹ 10000

Course Level
High

Course Content

 

ABSTRACT

The growth in the electronic transactions has resulted in a greater demand for fast and accurate user identification and authentication. User have been largely depending on and trusting the Automatic Teller Machine (ATM) to conveniently meeting their banking needs. However, numerous advantages of ATM system, the ATM fraud has recently become more widespread. This system used to avoid the ATM robberies and wrong person miss uses the ATM. In our proposed system we are going to increase the ATM security for safe transactions by image processing. Here we are going to authenticate the user in various stages to get the transaction done. So the proposed system will increase both safety and security for user while using ATM.

INTRODUCTION

With the technological advances in financial infrastructure, most bank customers prefer to use Automatic Teller Machines (ATMs) and Internet websites for carrying out their banking transactions. Financial users especially utilize ATMs for physical transactions like cash withdrawal or cash deposit. However, just like any other system, ATMs are also suffering from numerous issues caused by users. the proposed system starts to perform face detection and builds a temporary face database for the customer using the camera located inside the ATM. A facial recognition system is a computer application for automatically identifying or verifying a person from a digital image or a video frame from a video source. Proposed paper uses face recognition technique for verification in ATM system. For face recognition, there are two types of comparisons. The first is verification, this is where the system compares the given individual with who that individual says they are and gives a yes or no decision. The next one is identification this is where the system compares the given individual to all the other individuals in the database and gives a ranked list of matches. Face recognition technology analyzes the unique shape, pattern and positioning of the facial features. Face recognition is very complex technology and is largely software based. With this method, hopefully ATM Fraud can be minimized so that the customers can feel more secure while using ATM Machines. Finger print authentication is also used for user authentication in the next stage after face recognition. we can use speech detection technique to enter user details and password etc. User can also get notification during transaction.

 

2.2        BLOCK DIAGRAM

     BLOCK DIAGRAM

 

 

       

        PROJECT REQUIREMENTS

A. Hardware Requirement

Ø System             :         Pentium IV 2.4 GHz.

Ø Hard Disk        :         500 GB.

Ø Ram                 :         4 GB

Ø Any desktop / Laptop system with above configuration or higher level

Ø Power supply, fingerprint module, controller ,camera, LCD display

 

B. Software Requirements

 

Ø Operating system                 :         Windows XP / 7

Ø Coding Language                :         Python, Embedded C

                             Interpreter                           :           Python 3.6 , Arduino IDE

Conclusion

Automatic Teller Machines have become a mature technology which provides financial services to an increasing segment of the population in many countries. Biometrics, and in particular fingerprint scanning, continues to gain acceptance as a reliable form of securing access through identification and verification processes. This paper identifies a high level model for the modification of existing ATM systems using both Biometric fingerprint strategy and face recognition techiques. We have been able to develop a fingerprint mechanism as a biometric measure to enhance the security features of the ATM for effective banking. The developed application has been found promising on the account of its sensitivity to the recognition of the cardholder’s finger print as contained in the database. This system when fully deployed will definitely reduce the rate of fraudulent activities on the ATM machines. As we are going to authenticate the user in various stages to get the transaction done. So the proposed system will increase both safety and security for user while using ATM.

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