In the identification mode, where the subject (people) does not claim an identity, the input user image is compared against a set of labeled (it is used to indicate that the identity of the images in the database is known) user images in a database in order to determine the best match and, therefore, its identity.
Published in Chapter:
Biometric Authentication for the Cloud Computing
Sumit Jaiswal (IIT (BHU), India), Santosh Kumar (IIT (BHU), India), Subhash Chandra Patel (IIT (BHU), India), R. S. Singh (IIT (BHU), India), and S. K. Singh (IIT (BHU), India)
Copyright: © 2015
|Pages: 15
DOI: 10.4018/978-1-4666-6559-0.ch001
Abstract
As the data being stored to a distant server away from direct control of user cloud presents various security risks and threat issues associated with the user authentication and access control mechanisms, it is of upmost importance to ensure the security of confidential business data in the cloud storage along with making sure that only properly authenticated and authorized personnel can access the data and applications in the cloud. An important step in this regard is to execute biometric security mechanisms, which increases the competence level of security and only permits authenticated individuals by verifying different biometric parameters of human biometric characteristics (traits): patterns like fingerprints, retina, iris, voice, face, ear, palm, signature, and DNA recognition. Implementation of biometric authentication mechanism will take security of data and access control in cloud to higher level. This chapter discusses how a proposed biometrics system with respect to other recognition systems so far is more advantageous and result-oriented because it does not work on presumptions: it is unique and provides fast and contact-less authentication.