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DEFINITION :
Biometric authentication requires to compare a registered or
enrolled biometric sample against a newly captured biometric
sample.
This is a three-step process (Capture, Process, Enroll)
followed by a verification or identification process.
PHASES OF BIOMETRIC AUTHENICATION :
Voice recognition
Iris recognition
Fingerprint recognition
Face recognition
1. VOICE RECOGNITION :
The term voice recognition or speaker identification refers to
finding the identity of "who" is speaking, rather than what
they are saying.
Recognizing the speaker can simplify the task of translating
speech in systems that have been trained on a specific
person's voice or it can be used to authenticate or verify the
identity of a speaker as part of a security process.
ADVANTAGES :
It can help to increase productivity in many business.
It can capture speech much faster than you can type.
It is more accurate and trustworthy than passwords, which
are easy to forget, modify, or guess.
It has low operational costs.
2. IRIS RECOGNITION :
Iris recognition is the process of recognizing a person by
analyzing the random pattern of the Iris.
The Iris is a muscle within the eye that regulates the size of
the pupil, controlling the amount of light that enters the eye.
It is the colored portion of the eye with coloring based on the
amount of melatonin pigment within the muscle.
ADVANTAGES :
No physical contact when scanning.
Accurate matching performance.
Can be captured from a distance with advanced software and
optics.
Difficult to spoof.
3. FINGERPRINT RECOGNITION :
Fingerprint recognition refers to the automated method of
identifying or confirming the identity of an individual based
on the comparisson of two fingerprints.
Fingerprint recognition is one of the most well known
biometrics, and it is by far the most used biometric solution
for authentication on computerized systems
ADVANTAGES :
Uniqueness
Enhanced security
Easy to use
Accountability
Cost effectiveness
4. FACE RECOGNITION :
A face recognition system is expected to identify faces
present in images and videos automatically.
It can operate in either or both of two modes:
Face verification (or authentication): involves a
one-to-one match that compares a query face image
against a template face image whose identity is being
claimed.
Face identification (or recognition): involves one-
to-many matches that compares a query face image
against all the template images in the database to
determine the identity of the query face.
ADVANTAGES :
Increasing safety and security
Preventing crimes
Reducing human interaction
Easier integration
Improved accuracy
NAVE.pptx

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NAVE.pptx

  • 1.
  • 2. DEFINITION : Biometric authentication requires to compare a registered or enrolled biometric sample against a newly captured biometric sample. This is a three-step process (Capture, Process, Enroll) followed by a verification or identification process.
  • 3. PHASES OF BIOMETRIC AUTHENICATION : Voice recognition Iris recognition Fingerprint recognition Face recognition
  • 4. 1. VOICE RECOGNITION : The term voice recognition or speaker identification refers to finding the identity of "who" is speaking, rather than what they are saying. Recognizing the speaker can simplify the task of translating speech in systems that have been trained on a specific person's voice or it can be used to authenticate or verify the identity of a speaker as part of a security process.
  • 5. ADVANTAGES : It can help to increase productivity in many business. It can capture speech much faster than you can type. It is more accurate and trustworthy than passwords, which are easy to forget, modify, or guess. It has low operational costs.
  • 6. 2. IRIS RECOGNITION : Iris recognition is the process of recognizing a person by analyzing the random pattern of the Iris. The Iris is a muscle within the eye that regulates the size of the pupil, controlling the amount of light that enters the eye. It is the colored portion of the eye with coloring based on the amount of melatonin pigment within the muscle.
  • 7. ADVANTAGES : No physical contact when scanning. Accurate matching performance. Can be captured from a distance with advanced software and optics. Difficult to spoof.
  • 8. 3. FINGERPRINT RECOGNITION : Fingerprint recognition refers to the automated method of identifying or confirming the identity of an individual based on the comparisson of two fingerprints. Fingerprint recognition is one of the most well known biometrics, and it is by far the most used biometric solution for authentication on computerized systems
  • 9. ADVANTAGES : Uniqueness Enhanced security Easy to use Accountability Cost effectiveness
  • 10. 4. FACE RECOGNITION : A face recognition system is expected to identify faces present in images and videos automatically. It can operate in either or both of two modes: Face verification (or authentication): involves a one-to-one match that compares a query face image against a template face image whose identity is being claimed.
  • 11. Face identification (or recognition): involves one- to-many matches that compares a query face image against all the template images in the database to determine the identity of the query face.
  • 12. ADVANTAGES : Increasing safety and security Preventing crimes Reducing human interaction Easier integration Improved accuracy