secure atm by using image processing

Topics: Biometrics, Facial recognition system, Automated teller machine Pages: 5 (1267 words) Published: February 24, 2014


There is an urgent need for improving security in banking region. With the advent of atm though banking became a lot easier it become a lot vunerable . The chances of misuse of this much hyped insecure baby product (atm) are manifold due to the exponention growth of intelligent criminals day by day INTRODUCTION:

This paper process an atm insecurity model that would combine a physical access card, apin and electronic facial recognition It encloses the information regarding the image processing . and discussed one of the major application of image processing in biometrics . bio metrics technology turns your body into your password. We discussed various biometric techniques like finger scan ,retina scan , facial scan , hand scan etc.. Face recognition technology may solve the problem since a face is undeniably connected to its owner making impenetrable system AUTOMATED TELLER MACHINE(ATM):

An auto mated teller machine (ATM) is a computerized tel communications device that provides the customer4s of a finantial transcations in public space with out the need of a human clerk On most modern ATMs, the customer is identified by interesting of a plastic ATM card with a magnetic stripe or a plastic smart card with a chip, that contains a unique card number and some security information , such as an expiratiom date or cvv. Security is provided by the customer entering a personal identification number(PIN) PROPOSAL:

Cameras in use at automatic teller machines should take stil images of users A facial recognition scheme should be added to the software used to verify the users at ATMs This scheme should match a picture of user at the ATM with a picture of the account holder in the bank’s database REASONING:

ATM fraud costs U.S. banks an average of $15,000 each year. Hunderads of million in total This cost is borne by bank customers
Current ATM validation schemes are limited to access cards and PINs Card theft, PIN theft and cracking, stealing of account information by bank employees all contribute to fraud schemes ALGORITHM:

Take customers picture when account is opened and allow user to set non-verified transcation limits At ATM, use access card and PIN to pre-verify user
Take user’s picture , attempt to match it to database images If match is successful, allow transaction
If match is unsuccessful, limit available transactions
Most current generation ATMs run windows CE, 2000, XP embedded, or LINUX- these machines can run facial recognition software locally BIOMETRICS:
A biometric is a unique , measurable characteristics of a human being that can be used to automatically recognize an individual or verify an individual’s identity Biometrics can measure both phsycological and behavioral characteristics Physiological biometrics- based on measurements and data derived from direct measurement of a part of the human body Behavioral biometrics- based on measurements and data derived fram an action BIOMETRIC WORKING:

In biometrics a series of steps are followed to get aimed goal, the steps are shown in the figure below: SENSOR:
A sensor collects data and converts the information to a digital format SIGNAL PROCESSING ALGORITHMS:
This is where quality control activities and development of the template takes place DATA STORAGE:
Keeps the information that new biometric templates will be compared to. Matching algorithm:
compares the new template to other templates in the data storage DECISION PROCESS:
Uses the results from the matching component to make a system level decision.

DECISION PROCESS: uses the results from the matching component to make a system level.

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