09-07-2014, 10:33 AM
BIOMETRICS
[attachment=65771]
What is BIOMETRICS ?
automatic identification of a person based on his/her physiological or behavioural characteristics such as finger scan, retina, iris, voice scan, signature scan etc.
preferred over traditional methods involving passwords and PIN numbers.
It is pattern recognition system, which makes a personal identification by determining the authenticity of a specific physiological, or behavioural characteristics possessed by the user
IDENTIFICATION AND VERIFICATION
identifying a person from all biometric measurements collected in a database and this involves a one-to-many match also referred to as a ‘cold search’.
verification involves authenticating a person’s claimed identity from his or her previously enrolled pattern and this involves a one-to-one match.
verification requires comparing a person’s fingerprint to one that pass previously recorded in the system database.
identification involves many more comparisons and may require differentiating among several database fingerprints that are similar to the objects.
IRIS RECOGNITION
based on research and patents held by Dr. John Daugman.
leverages the unique features of the human iris to provide an unmatched identification technology.
addresses the FTE (failure to enroll) problems, which lessen the effectiveness of other biometrics.
Iris recognition is based on visible (via regular and/or infrared light) qualities of the iris.
converts the visible characteristics into a 512 byte IrisCode™, a template stored for future verification attempts.
FINGERPRINT VERIFICATION
FINGERSCAN is an authentication terminal, which verifies a person’s identity from their finger image.
When a user places their finger on the terminals scanner the image is electronically read, analyzed, and compared with a previously recorded image of the same finger, which has been stored in the FINGERSCAN database.
FINGERSCAN is a biometrics product, which involves using some unique biological characteristic or physical property of an individual to verify that persons claimed identity.
VOICE SCAN
The speaker-specific characteristics of speech are due to differences in physiological and behavioural aspects of the speech production system in humans.
The main physiological aspect of the human speech production system is the vocal tract shape. The vocal tract is generally considered as the speech production organ above the vocal folds.
The pattern matching process involves the comparison of a given set of input feature vectors against the speaker model for the claimed identity and computing a matching score.
FACE RECOGNITION
Specialized recognition software coupled with video camera allows these systems to recognize people’s faces.
There are various methods by which facial scan technology recognize peoples. Some commonalities, are emphasizing those sections of the face which are less susceptible to alteration, including the upper outlines of the eye sockets, the areas surrounding one’s cheekbones, and the sides of the mouth.
CONCLUSION
The ultimate form of electronic verification of a person’s identity is biometrics; using a physical attribute of the person to make a positive identification.
The challenge has been to turn these into electronic processes that are inexpensive and easy to use.
Biometrics, when properly implemented, not only increase security but also often are easier to use and less costly to administer than the less secure alternatives.
Banks and others who have tested biometric-based security on their clientele,however, say consumers overwhelmingly have a pragmatic response to the technology.
Biometrics can’t be forgotten or left at home and they don’t have to be changed periodically like passwords.
[attachment=65771]
What is BIOMETRICS ?
automatic identification of a person based on his/her physiological or behavioural characteristics such as finger scan, retina, iris, voice scan, signature scan etc.
preferred over traditional methods involving passwords and PIN numbers.
It is pattern recognition system, which makes a personal identification by determining the authenticity of a specific physiological, or behavioural characteristics possessed by the user
IDENTIFICATION AND VERIFICATION
identifying a person from all biometric measurements collected in a database and this involves a one-to-many match also referred to as a ‘cold search’.
verification involves authenticating a person’s claimed identity from his or her previously enrolled pattern and this involves a one-to-one match.
verification requires comparing a person’s fingerprint to one that pass previously recorded in the system database.
identification involves many more comparisons and may require differentiating among several database fingerprints that are similar to the objects.
IRIS RECOGNITION
based on research and patents held by Dr. John Daugman.
leverages the unique features of the human iris to provide an unmatched identification technology.
addresses the FTE (failure to enroll) problems, which lessen the effectiveness of other biometrics.
Iris recognition is based on visible (via regular and/or infrared light) qualities of the iris.
converts the visible characteristics into a 512 byte IrisCode™, a template stored for future verification attempts.
FINGERPRINT VERIFICATION
FINGERSCAN is an authentication terminal, which verifies a person’s identity from their finger image.
When a user places their finger on the terminals scanner the image is electronically read, analyzed, and compared with a previously recorded image of the same finger, which has been stored in the FINGERSCAN database.
FINGERSCAN is a biometrics product, which involves using some unique biological characteristic or physical property of an individual to verify that persons claimed identity.
VOICE SCAN
The speaker-specific characteristics of speech are due to differences in physiological and behavioural aspects of the speech production system in humans.
The main physiological aspect of the human speech production system is the vocal tract shape. The vocal tract is generally considered as the speech production organ above the vocal folds.
The pattern matching process involves the comparison of a given set of input feature vectors against the speaker model for the claimed identity and computing a matching score.
FACE RECOGNITION
Specialized recognition software coupled with video camera allows these systems to recognize people’s faces.
There are various methods by which facial scan technology recognize peoples. Some commonalities, are emphasizing those sections of the face which are less susceptible to alteration, including the upper outlines of the eye sockets, the areas surrounding one’s cheekbones, and the sides of the mouth.
CONCLUSION
The ultimate form of electronic verification of a person’s identity is biometrics; using a physical attribute of the person to make a positive identification.
The challenge has been to turn these into electronic processes that are inexpensive and easy to use.
Biometrics, when properly implemented, not only increase security but also often are easier to use and less costly to administer than the less secure alternatives.
Banks and others who have tested biometric-based security on their clientele,however, say consumers overwhelmingly have a pragmatic response to the technology.
Biometrics can’t be forgotten or left at home and they don’t have to be changed periodically like passwords.