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ABSTRACT

Biometrics is the science of measuring and statistically analyzing biological data.

It refers to the use of a person’s biological characteristics for personal identification and authentication.  The various iris patterns, the blood vessel pattern in the retina, voice inflections in speech, the shape and geometry of the face and hand, are some of the most common types of human biometrics.

 

The core of the biometric authentication process is made up of image processing and pattern matching or minutiae comparison algorithms. The programmable DSP, with architecture well-suited for implementing complex mathematical algorithms, can efficiently address all the processing needs of such a system.

 

This paper describes that biometrics could be a solution of a lot of user identification and security problems in today’s networks. The technology will drive us to a new era of security where we get rid of innumerable numbers and multitude of passwords. It also provides an overview that how DSP act as a catalyst in the development and adoption of biometric systems and could revolutionize the world of biometrics.

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