Biometric Verification Report - AI, Security Systems and Applications

This report explores the field of biometric verification, focusing on its application within artificial intelligence and security systems. It delves into the various methods of biometric identification, categorizing them into physiological and behavioral characteristics. The report highlights fingerprint verification as a prominent example of physiological biometrics, while also discussing other aspects like hand geometry, retina scanning, and voice matching. Furthermore, it examines the importance of biometric authentication in both public and corporate settings, emphasizing its role in enhancing security and convenience. The report also references key publications in the field, providing a comprehensive overview of biometric technologies and their significance.

Running head: BIOMETRIC VERIFICATION
BIOMETRIC VERIFICATION
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BIOMETRIC VERIFICATION 1
Biometric:
The biometric verification is one of the information technologies which is the
statistical and measurement analysis of unique behavioural and physical characteristic of the
people. This technology is used mainly for the access control and identification or to identify
people who are under surveillance individually. The basic obligation of the biometric
authentication is, each people can be identified accurately by her or his intrinsic behavioural
and physical traits. The unique identifiers include hand geometry, fingerprints, retina, earlobe
geometry and also the iris pattern. One of the oldest form of the biometric is fingerprint
verification (Zhang, 2013). The two major types of the biometric identifiers is depending on
either behavioural characteristics or physiological characteristics.
The behavioural identifiers include the way that is unique in which the individuals can
act, including the recognition of walking gait, typing patterns and other gestures. Some of the
behavioural identifiers would be used for providing authentication continuously at the place
of a single one off authentication check.
The physiological identifiers can relate to composition that the user is being
authenticated as well as including fingerprint, facial recognition, iris recognition, retina
scanning, dna matching, figure geometry (the position and size of the fingers) and voice
matching (Olsen, Šmida & Busch, 2016).
The authentication by biometric is increasingly becoming common in both the public
and corporate security system, point of sales application and the consumer electronics.
Concluding the security features, the convenience of the verification quality of the biometrics
are supported by the driving forces, while the understanding or remembrance of the involved
security tokens and passwords are not considered to be carried.

2BIOMETRIC VERIFICATION
Reference:
Olsen, M. A., Šmida, V., & Busch, C. (2016). Finger image quality assessment features–
definitions and evaluation. IET Biometrics, 5(2), 47-64.
Zhang, D. D. (2013). Automated biometrics: Technologies and systems (Vol. 7). Springer
Science & Business Media.