Computer Science

Advances in Biometrics for Secure Human Authentication and Recognition

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The uniqueness of the physiological and behavioral characteristics of human beings is used to facilitate the identification or verification process, and it always results in correct classification. However, the distinctive evidence obtained from an individual does not guarantee a 100% matching be performed to the biometric characteristics corresponding another subject, even after considering all aspects of accurate recognition process. Tampered sensors, distorted evidence, recognition at a distance, and sometimes, motion of the target subject cause the identification process to be a weak one. Moreover, picking up the right algorithms for image enhancement, feature extraction, matching, classification, and decision in a biometric system are criti- cal. Most of the commercial, off-the-shelf biometrics systems together cannot deal with all the intrinsic perspectives that could easily make the system unstable. Therefore, to cope with this problem, we should consider standard biometrics properties and algorithmic paradigms for the identification or verification of human beings. Hence, experiments of biometric systems at large with various biometrics traits could be a good approach to identify the correct and secure human recognition system.

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Detail Information

Series Title

Advances in Biometrics for Secure Human Authentication and Recognition

Call Number

-

Publisher

USA : Taylor & Francis Group, LLC., 2014

Collation

1-340

Language

English

ISBN/ISSN

13: 978-1-4665-8243-

Classification

NONE

Content Type

-

Media Type

-

Carrier Type

-

Edition

1st Edtion

Subject(s)

Information Technology

Specific Detail Info

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Statement of Responsibility

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