Development of efficient biometric recognition algorithms based on fingerprint and face
Title
Development of efficient biometric recognition algorithms based on fingerprint and face
Subject
Computer Science
Description
The reliable verification systems are required to verify and confirm the identity of an individual requesting their service. Secure access to the buildings, laptops, cellular phones, ATM etc. is an example of such applications. In the absence of robust verification systems, these systems are vulnerable to the wiles of an impostor. The traditional ways of authentications are passwords (knowledge – based security) and the ID Cards (token – based security). These methods can be easily breached due to the chance of stolen, lost or forget. The development and progress of biometrics technology, the fear of stolen, lost or forget can be eliminated. Biometrics refers to the automatic identification (or verification) of an individual (or a claimed identity) by using certain physiological or behavioral traits associated with the person. The biometrics identifies the person based on features vector derived from physiological or behavioural characteristics such as uniqueness, permanence, accessibility, collectability with minimum cost. The physiological biometrics are Fingerprint, Hand Scan, Iris Scan, Facial
Scan and Retina Scan etc., and behavioural biometric are Voice, Keystroke, Gait, Signature etc., The physiological biometrics measures the specific part of the structure or shape of a portion of a subject’s body.
Scan and Retina Scan etc., and behavioural biometric are Voice, Keystroke, Gait, Signature etc., The physiological biometrics measures the specific part of the structure or shape of a portion of a subject’s body.
Creator
George, Jossy P - 0945001
Publisher
CHRIST (Deemed to be University)
Language
English
Type
PhD
Collection
Citation
George, Jossy P - 0945001, “Development of efficient biometric recognition algorithms based on fingerprint and face,” CHRIST (Deemed To Be University) Institutional Repository, accessed November 13, 2024, https://archives.christuniversity.in/items/show/1745.