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It is possible to develop
the custom applications related to security |
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systems. (PC or client/server
access, and physical access). |
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Anyone who develops an application
for user administration and authentication |
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can use IZZIX SDK with ease
to build a fingerprint-based authentication for |
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IZZIX SDK supplies everything
that is needed to develop applications that use |
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IZZIX fingerprint authentication
technology. This SDK includes hardware driver |
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for fingerprint authentication
device, Header file defining the Finger API, library |
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Visual C++ 6.0 sample code
and the fingerprint algorithm. The SDK allows a |
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developer to develop applications
that authenticate fingerprint in real-time. |
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IZZIX Fingerprint Recognition
Algorithm follows the commonly accepted |
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fingerprint identification
scheme, which uses a set of specific fingerprint |
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feature points (minutiae). |
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In addition, it contains
many advanced algorithm solutions, which enhance the |
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system performance and reliability. |
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This algorithm makes sure
the quality of the fingerprint and possibility to use |
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the fingerprint. It checks
error codes such as incorrect image position (up, |
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down, left, and right), no
fingerprint present or fingerprint too dry or too wet. |
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This algorithm allows to
eliminate injuries, ridge ruptures and stuck ridges, and |
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selects feature points more
reliably even from poor fingerprint images with |
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processing time of 0.2~0.3
seconds on a Pentium 200. |
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Because there can be many
distortion, translation, and rotation in fingerprint |
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image caused by various reasons,
this algorithm selects feature points of |
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fingerprint. IZZIX fingerprint
algorithm is fully tolerant to them. IZZIX |
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fingerprint algorithm uses
a fingerprint matching, which can match 12000 |
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fingerprints per second and
identifies fingerprints even if they are arbitrarily |
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rotated within 360¡Æ. And
then, this algorithm is not depended on the presence |
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of the fingerprint core or
delta points in the image. |
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IZZIX fingerprint algorithm
can register fingerprint by using feature points |
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collection mode. When using
this mode, the same fingerprint of a user is |
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scanned 3 times and the scanned
fingerprint images are processed separately |
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to select feature points
from each image. And after finding the common feature |
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points from three images,
the common feature points are saved in the |
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database. The fingerprint
data processed by this procedure is more confident |
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and efficient than other
fingerprint data. |
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IZZIX Fingerprint algorithm
sorts and saves each data incoming to the |
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database by the easiest distinguishable
features. Fingerprint matching is |
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performed first with the
pre-sorting data by global feature, and then more |
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detailed feature is matched
with the fingerprint data in database until the |
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correct match is found. In
most cases, the correct match is found in the |
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beginning of the search and
IZZIX fingerprint algorithm quickly finds the |
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matching fingerprint even
the huge database. |
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IZZIX fingerprint algorithm
can match 1:1 and 1:N. |
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SDK is very excellent for
security and privacy. A user's fingerprint templates |
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can be returned by encryption
type from fingerprint algorithm and are saved in |
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the database by encryption
type. The encrypted fingerprint data can be used |
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by the decryption method
used internally and it is impossible to match |
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fingerprint in the database
by using the saved fingerprint. In addition, SDK |
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does not provide any function
related to encryption and decryption. |
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Fingerprint Enrollment Speed
0.2 seconds |
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Fingerprint Authentication
Speed 12000 prints / second |
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Fingerprint Template Size
480 bytes |
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Fingerprint Rotation Range
0¡Æ~360¡Æ |
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Matching Security Level 5
levels |
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False Rejection Rate (FRR)
¡Â1% |
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False Acceptance Rate (FAR)
¡Â0.0001%
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Microsoft Windows 98/98se,
me, 2000, XP |
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More than Pentium Processor |
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16Mbytes Memory |
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USB Port |
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Microsoft Windows 98/98se,
me, 2000, XP |
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