Technology


………..Biometrics

 


Biometrics is the identification of a person based on his/her intrinsic
characteristics, such as voice, writing, fingerprint, iris, face, hand geometry, etc. It
is a system that recognizes a person based on "who" the person is and does not
rely on "what a person is carrying" or "what a person knows".


One of the most widely known and used biometric identification scheme is
fingerprint. Fingerprint analysis and identification is a 100-year old science, with
thousands of studies made and articles written, and thus confidence rates of more
than 99%. It’s the cheapest, fastest, most convenient and most reliable way to
identify someone. That’s why fingerprint alone has almost 60% of the biometric
world market, according to the Biometrics Market and Industry Report 2007-2012
from the International Biometric Group. Cars, cell phones, PDAs, personal
computers and dozens of products and devices are using fingerprints more and
more. Fingerprint recognition can be used from criminal investigations to time
attendance systems, in a movie rental or in a police identification
institute.

 


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After focusing on research and sensor technology, precise optic technology and
sensor interface technology for many years, NITGEN finally developed the most
compact, affordably-priced sensor ever produced.
The NITGEN sensor has been optimally designed with SEIR (Surface Enhanced
Irregular Reflection), incorporating high resolution and endurance (scratches,
chemical corrosion, ESD, physical impacts). Its compact size and outstanding
durability has made it one of the most advanced products in the world, to
successfully eliminate the optical defect of image distortion. The NITGEN sensor
can be easily embedded in any fingerprint recognition device and external
products that are sensitive to environmental factors
 


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The know-how acquired through our long history of product applications and field
experiences, as well as our research and development efforts, are responsible for
this achievement. Our system demonstrates fast recognition speed, highly
accurate recognition ratio, and excellent recognition capability.
 


The recognition algorithm is primary composed of the extraction algorithm and the
matching algorithm, and the classification algorithm. The extraction algorithm is a
series of processes that extract characteristics of a scanned fingerprint image that
are to be used in fingerprint matching, as well as core, delta ,the number of ridge
Features between specific points, and other supplementary information. The
matching algorithm compares the inputted fingerprint with registered fingerprints to
Find a match based on extracted characteristics.
 


The extraction algorithm, when fed the fingerprint image, improves the image and
analyzes fingerprint characteristics, and performs binarization using the analyzed
data . Afterwards. it performs thinning work considering temporal performance,
extracts characteristics after post processing, and saves as a template made up of
characteristic points
 

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The matching algorithm finds out whether there is a match by comparing two
templates extracted by the characteristic point extraction algorithm, specifically by
comparing the positions of each characteristic point and the structure.
 

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Fingerprint recognition technology is divided into two distinct processes:
verification and identification.


In the verification process the user states who he/she is and a fingerprint is taken
and compared to the user’s previously registered fingerprint. If the fingerprints
match, the user is "verified" as who he/she says he/she is. Since the newly
acquired fingerprint is compared to only one stored fingerprint, this is called a one-
to-one matching process (1:1). As in the enrollment process, when a fingerprint
verification is done, only the fingerprint template is used in the comparison, not the
actual image of the fingerprint.


In the identification process the user doesn’t need to state who he/she is. A
fingerprint is taken and compared to each fingerprint in the database of registered
users. When a match occurs, the user is "identified" as the existing user the
system found. Since the newly acquired fingerprint is compared to many stored
fingerprints, this is called a one-to-many matching process (1:N). As in the
verification process, when a fingerprint identification is done, only the fingerprint
template is used in the comparison, not the actual image of the fingerprint.


Although it may appear to be a simple process, fingerprint recognition involves the
state-of-the-art technology in hardware, for the readers, and software, to process
the fingerprint images and templates. But due to the effort of the hardware and
software makers, all this complexity is hidden and fingerprint technology usage is
nowadays as simple as touching the reader.