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Intelligent biometric information fusion using support vector machine

NCJ Number
305882
Author(s)
Richa Singh; Mayank Vatsa; Afzel Noore
Date Published
2007
Length
35 pages
Annotation

After reviewing the nature and uses of biometrics in the identification of persons, the benefits and means of fusing various biometrics are examined.

Abstract

Biometrics is the process of verifying or identifying an individual using the person’s physiological and behavioral characteristics such as face, fingerprint, iris, signature, and gait. The main advantage of using biometrics for recognition is that it is unique for every individual and cannot be misplaced or forgotten. However, biometric systems that use a single biometric trait have to contend with noisy data, restricted degrees of freedom, failure to-enroll problems, spoof attacks, and unacceptable error rates. Various researchers have suggested that no single biometric modality can provide the protection required for high security applications [1] - [4]. To alleviate this problem and enhance the performance of a biometric system, information from different biometric sources are combined and such systems are known as multimodal biometric systems. (Published abstract provided)

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