|
|
Fingerprint Verification Technology
|
|
|
 |
 Fingerprints can be captured in
different ways. Current techniques include
optical, ultrasound, or technologies based on
semiconductor chips(CMOS sensor). Optical method
is the pioneering technology of the fingerprint
verification and widely being used around the
world.
|
|
|
|
|
|
|
|
|
Type of Sensor : Optical Sensor
|
|
|
|
All optics-based fingerprint
systems translate the illuminated images of
fingerprints into digital code for further
software processing like enrollment (fingerprint
registration) and verification (authentication
of registered users). Algorithm of this
technology varies from one company to another
however, it is very stable and reliable.
|
|
|
|
|
|
|
|
|
|
|
|
Type of Sensor : Semiconductor Sensor
|
|
|
|
There are three ways to capture fingerprint
image using semiconductor sensor. One is
capturing image of fingerprint that is laid on
the chip surface, another is using e-field or
ultrasound to read the fingerprint image. Some
critical factors that contribute to high error
rate of semiconductor sensor like ESD, moisture,
dirt and oil have been dissolved. Also,
durability of the chip is also an issue as users
are touching it directly however, it also has
been dissolved by special coating and protected
cover or
design.
|
|
|
|
|
|
|
|
|
|
Type of Sensor : Algorortm
|
|
|
|
Extraction & Comparison Process
The
feature extraction process is performed in two
stages. The first stage of is to capture a
grayscale image of the fingerprint from the
finger itself. The image is then processed down
to a binary "skeleton" of the original image
with one-pixel wide ridgelines. In the second
stage of the process, the feature extraction
algorithms are applied to this skeletal
image and the measurements that comprise the
minutiae template are taken. Then, the templates
are stored. When a new fingerprint is read, the
algorithm compares it with the stored
one.
|
|
|
|
|
|
|
|
|
|
Comparision Method
|
|
|
|
1:N
Identification(1:N)
vs. Verification(1:1) :
The Difference
Identification is the process of selecting one
person's characteristics from a group of
records. Called a "one-to-many" search, the
question put to the system is "Do you know this
person?" The algorithm searches the database and
returns a result of likely
candidates.Verification, on the other hand,
occurs when a person makes a claim to a specific
identity. Called a "one-to-one" match, the
question put to the system is "Is this person
who he claims to be?" The automated system
compares the individual's measured
characteristics against a previously registered
record to determine whether or not the match is
valid.
|
|
|
|
|
|
|
|
|
|
|
|
Dynamic Image Bank
|
|
|
|
For further detailed images please visit our exclusive image bank !!
|
|
|
|
|
|
