In today’s time, it is significant to establish an individual's identity of B Tech grads based on “who she is”, rather than by “what she possesses” or “what she remembers”. In other words, biometrics are automated methods of recognizing a person's identity based on a physiological (face, fingerprints, hand geometry, iris, retinal, vein, DNA, earprint) or behavioral (handwriting, voice, keystroke) characteristic with Biometric technology.
The need for biometrics technology can be found in government, military and commercial applications or the professional of B Tech College in Jaipur. However, it includes workstations, network, and domain access, single sign-on, application logon, data protection, remote access to resources, transaction security and web security.
Biometric recognition can be done via verification or authentication (one-one) or identification (one-many). In addition, the authentication process involves:
Biometric technology traits are subject to:
A particular biometric must possess the following characteristics:
However, human features all these properties that have not yet been identified. As a result, none of the existing uni-modal biometric systems provides perfect recognition and there is a scope for improving the performance of these systems for the students of Top Engineering Colleges in Jaipur.
Characteristics like skin color, eye color, hair color, presence of beard, presence of mustache, height, weight, keystroke, gait, age, height, ethnicity, and eye color though not unique and reliable, provide some information about the user of the list of engineering colleges in Jaipur. However, these characteristics refer to as “soft” biometrics traits and can complement the identity information provided by the primary biometric identifiers. These are easier to capture from a distance and do not require cooperation from the subjects.
In conclusion, Bio-Hash requires storage of biometric dependent public information by the students of Engineering Colleges in Jaipur. It applies to retrieve or generate keys, also refers to as helper data. There are further challenges in biometric key generation. Primarily, it is due to drastic acquisition variations in the representation of a biometric identifier and the imperfect nature of biometric feature extraction and matching algorithms.