Biometric Recognition Technique for ATM System
Abstract : In 1930's, Mr. Luther G. Simijian initiated building first of kind and not so successful version of Tellering machine. He did register related patents. He initially came up with an idea of machine fixed in a wall called as "Hole in the wall machine." It would allow customer to make financial transaction without entering the bank. John S. Barron had an idea in the late 1960's for 24/7 cash dispenser. He was M.D. of De La Rue Instruments. De La Rue today manufactures cash dispensers. You can say that Shepherd Barron invented the ATM system, then the world's first ATM was installed outside North London. It was installed in a branch of Barclay's Bank in 1967. The first bank to introduce ATM in India was HSBC in 1987, Mumbai. The existing self banking system has got very high popularity with 24 hours service. Use of ATM (Automatic Teller Machine) is helpful for money transaction. ATM is activated by placing the card, then entering the pin number of the particular card. But this system is not safe to use because anybody can access the system if they have the card and pin number like we share our card and pin number to our friends who may miss use it. This is the main disadvantage of existing system. Traditional ATM systems authenticate the method has some defects. Using ATM card and password cannot verify the client's identity exactly.
? This paper identifies a model for the modification of existing ATM systems to economically incorporate fingerprint scanning; and, outlines the advantages of using such system.
? Iris scanning is eye related biometric systems, Iris scans analyze the features that exist in the colored tissue surrounding the pupil of an eye, it is utilized a conventional camera element and requires no intimate contract between user and reader.
? it is very important for a fingerprint recognition system to estimate the quality and validity of the captured fingerprint images.
? Existing approaches for this estimation are either to use of local features of the image or to use of global features of the image.
? The technology is evolving quickly and there are several emerging approaches, such as 3D modeling, that may overcome current problems with the systems.
? Eyeglasses and contact lenses present no problems to the quality of the image and the iris-scan systems test for a live eye by checking for the normal continuous fluctuation in pupil size.
? An algorithm is a series of directives that tell a biometric system how to interpret a specific problem.
? Edges characterize boundaries and are therefore a problem of fundamental importance in image processing.
? These problems may affect subsequent feature extraction and iris matching process.
• A new fingerprint recognition scheme based on a set of assembled invariant moment (geometric moment and Zernike moment) features to ensure the secure communications is proposed.
• A chip architecture that integrates a fingerprint sensor and an identifier in a single chip is proposed.
• To implement the proposed security for ATM terminals with the use of fingerprint recognition, we use the different hardware and software platforms.
• The purpose of enhancing curved structures in noisy images, curved GFs that locally adapt their shape to the direction of flow can also be used.
? When compared to other technology systems this was found as very efficient.
? As compared with other biometrics systems using fingerprint/palm print and iris, face recognition has distinct advantages because of its non-contact process.
? Algorithms have a number of steps and are used by the biometric system to determine if a biometric sample and record is a match.
? Applications due to information protection issues, it is believed that the technology will find its way to be widely used in many different applications.
? This is used to prevent replay attacks lifted from video-signals, for instance by connecting a video recorder to the frame-grabber.
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