Biometric technology is the technology which is based on the samples of the human body. This is based on the things which every person is having different to the any other person. And using this technology is far more better than using any other technology.
This article is presented by : PAVAN KUMAR M.T.
Visvesvaraya Technological University
Santhibastawad Road, Machhe
Belgaum-590 014, Karnataka
In this Hi-Tech era, there is a great demand to identify and authenticate the individuals. Till now we are totally dependent upon Passwords and Pin Numbers for identification. How secure are passwords? With the numerous passwords that an individual has to remember, they are often forgotten, misplaced, or stolen. Think of how many different passwords you have to remember: computer passwords, internet site logons and passwords, PIN numbers for the ATM and for credit cards, the list goes on. We are arriving at a conclusion that these technologies are not sufficient for the security of an individual as these are hard to remember, easily transferable, easily stolen and there are many weaknesses. Due to these weaknesses biometrics came into existence.
Biometrics is that study of science that deals with personal human behavioral and physiological characteristics and such as fingerprints, handprints, iris scanning, voice scanning, face recognition and signature recognition. These technologies are far more promising than that which are used currently to identify an individual. This paper highlights some of the benefits and the few limitations of using biometrics for authentication .With biometrics it doesn’t matter if we forget your password or lose your smart card.
The term "biometrics" is derived from the Greek words bio means “life” and metric means “to measure”.
BIOMETRICS refers to the automatic identification of a person based on his physiological / behavioral characteristics. This method of identification is preferred for various reasons; the person to be identified is required to be physically present at the point of identification; identification based on biometric techniques obviates the need to remember a password or carry a token.
A biometric is a unique, measurable characteristic or trait for automatically recognizing or verifying the identity of a human being. Biometrics is a powerful combination of science and technology that can be used to protect and secure our most valuable information and property.
With the increased use of computers or vehicles of information technology, it is necessary to restrict access to sensitive or personal data. By replacing PINs, biometric techniques can potentially prevent unauthorized access to fraudulent use of ATMs, cellular phones, smart cards, desktop PCs, workstations, and computer networks. PINs and passwords may be forgotten, and token based methods of identification like passports and driver’s licenses may be forged, stolen, or lost .Thus biometric systems of identification are enjoying a renewed interest.
ABSTRACT FOR SEMINAR
BIOMETRIC SECURITY TECHNOLOGY
Biometrics is the science for measurements of physical or biological characteristics of an individual to create a unique identifier which can be electronically stored, retrieved and compared for positive identification purposes. Biometrics includes automated methods of recognizing a person based on a physiological or behavioural characteristic. They include fingerprints, retinal and iris scanning, hand and finger geometry, voice patterns, facial recognition and other techniques.
The biometric technologies are becoming the foundation of an extensive array of highly secure identification, personal verification and access solutions. Biometrics is expected to be incorporated in solutions for improving airport security, in travel documents, passports and visas, and in preventing thefts.
Biometric systems work by converting data derived from behavioural or physiological characteristics into templates, which are used for subsequent matching. This is a multi stage process whose stages are enrolment, submission, acquisition device, biometric sample, feature extraction, template, matching, score, threshold and decision.
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