Fingerprint Authentication System
How does fingerprint sensor (authentication)
technology work?
Fingerprint
authentication is one of many biometric forms of
human identification. A fingerprint sensor captures a
digital image of a fingerprint pattern, normally at
500dpi (dots per inch) resolution in gray-scale using 8
bits per dot.
First, one fingerprint image (or more) is registered on
the device used to perform the authentication (e.g., a
personal computer with
integrated fingerprint scanner), and a template of
the fingerprint is stored on a local database.
When users want to log in, they must have their
registered finger scanned again, and a second template
is generated. Next, a pattern analysis is performed to
determine if there is a match and if the logon should be
allowed.
The match is determined using points of interest
(minutia) on the fingerprint, such as ridge bifurcations
and ridge endings. If enough of the minutia points and
vectors match, the fingerprint is considered a match and
the logon is permitted.
What are the basic types of fingerprint sensor
technology in use today?
Fingerprint sensors can use optical or capacitive
technology. Each of these options suits different
implementations.
Like a digital camera, optical technology employs
visible light to capture a digital image. It uses a
light source to illuminate the finger's surface while a
charge-coupled device (CCD) captures the image, which is
then converted to a digital signal.
There are two types of capacitive technologies: passive
and active. Passive capacitive technology uses a
silicon-based structure containing an array of plates
that are used to apply a small electrical current and
measure the voltage discharge through the finger when it
is placed over the sensor.
The plates act as a parallel array of capacitors when
the finger is placed on the sensor, and the capacitance
at each point (pixel) is measured. Fingerprint ridges
have a substantially greater discharge potential than
valleys containing air, which may have little or no
discharge. In either case, the result is an 8-bit
high-contrast gray-scale image
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