03-08-2012, 12:04 PM
Biometric Devices
[attachment=29999]
Iris cameras perform recognition detection of a
person's identity by mathematical analysis of the
random patterns that are visible within the iris of an
eye from some distance. It combines computer
vision, pattern recognition, statistical inference and
optics.
Of all the biometric devices and scanners available
today, it is generally conceded that iris recognition is
the most accurate. The automated method of iris
recognition is relatively young, existing in patent
since only 1994.
Iris cameras, in general, take a digital photo of the iris pattern and recreating an encrypted digital
template of that pattern. That encrypted template cannot be re-engineered or reproduced in any sort of
visual image. Iris recognition therefore affords the highest level defence against identity theft, the most
rapidly growing crime.
The imaging process involves no lasers or bright lights and authentication is essentially non-contact.
Today's commercial iris cameras use infrared light to illuminate the iris without causing harm or
discomfort to the subject.
The iris is the coloured ring around the pupil of every human being and like a snowflake, no two are
alike. Each are unique in their own way, exhibiting a distinctive pattern that forms randomly in utero. The
iris is a muscle that regulates the size of the pupil, controlling the amount of light that enters the eye.
Iris recognition is rarely impeded by glasses or contact lenses and can be scanned from 10cm to a few
meters away. The iris remains stable over time as long as there are no injuries and a single enrolment
scan can last a lifetime.
Fingerprint Scanner
A fingerprint scanner is an electronic device used to capture a
digital image of the fingerprint pattern. This scan is digitally
processed to create a biometric template which is stored and used
for matching. Face detection is used in biometrics, often as a part of (or together with) a facial recognition
system. It is also used in video surveillance, human computer interface and image database
management. A face camera is a webcam with 2 Mpx or above which can take a clear crisp
photograph of the face. Some recent digital cameras use face detection for autofocus. Also,
face detection is useful for selecting regions of interest in photo slideshows that use a
pan-and-scale Ken Burns effect. That is, the content of a given part of an image is
transformed into features, after which a classifier trained on example faces decides whether
that particular region of the image is a face, or not.
[attachment=29999]
Iris cameras perform recognition detection of a
person's identity by mathematical analysis of the
random patterns that are visible within the iris of an
eye from some distance. It combines computer
vision, pattern recognition, statistical inference and
optics.
Of all the biometric devices and scanners available
today, it is generally conceded that iris recognition is
the most accurate. The automated method of iris
recognition is relatively young, existing in patent
since only 1994.
Iris cameras, in general, take a digital photo of the iris pattern and recreating an encrypted digital
template of that pattern. That encrypted template cannot be re-engineered or reproduced in any sort of
visual image. Iris recognition therefore affords the highest level defence against identity theft, the most
rapidly growing crime.
The imaging process involves no lasers or bright lights and authentication is essentially non-contact.
Today's commercial iris cameras use infrared light to illuminate the iris without causing harm or
discomfort to the subject.
The iris is the coloured ring around the pupil of every human being and like a snowflake, no two are
alike. Each are unique in their own way, exhibiting a distinctive pattern that forms randomly in utero. The
iris is a muscle that regulates the size of the pupil, controlling the amount of light that enters the eye.
Iris recognition is rarely impeded by glasses or contact lenses and can be scanned from 10cm to a few
meters away. The iris remains stable over time as long as there are no injuries and a single enrolment
scan can last a lifetime.
Fingerprint Scanner
A fingerprint scanner is an electronic device used to capture a
digital image of the fingerprint pattern. This scan is digitally
processed to create a biometric template which is stored and used
for matching. Face detection is used in biometrics, often as a part of (or together with) a facial recognition
system. It is also used in video surveillance, human computer interface and image database
management. A face camera is a webcam with 2 Mpx or above which can take a clear crisp
photograph of the face. Some recent digital cameras use face detection for autofocus. Also,
face detection is useful for selecting regions of interest in photo slideshows that use a
pan-and-scale Ken Burns effect. That is, the content of a given part of an image is
transformed into features, after which a classifier trained on example faces decides whether
that particular region of the image is a face, or not.