Fundamentals of Biometric Analysis
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Transcript of Fundamentals of Biometric Analysis
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FUNDAMENTALS OF
BIOMETRIC
ANALYSIS
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What is biometrics?
Biometrics comprises methods for uniquely recognizing humans
based upon one or more intrinsic physical or behavioral traits.
Biometric characteristics can be divided into two main classes:
� Physiological -Related to the shape of the body.
Eg: Fingerprint, face recognition, DNA, hand and palm geometry,
iris recognition, odor/scent.� Behavioral ± Related to the behaviour of a person.
Eg: Typing rhythm, gait and voice.
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Whether a human character can be used for biometric will depend
on the following parameters:
Universality- Each person should have the characteristic.
Uniqueness- Is how well the biometric separates individuals from one
another.
Permanence-Measures how well a biometric resists aging and other
variance over time.
Collectability- Ease of acquisition for measurement.
Performance- Accuracy, speed and robustness of technology used.
Acceptability- Degree of approval of a technology.
Curcumvention- Ease of use of a substitute.
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OPERATI ON
A biometric system operates in the following two modes:
Verification: A one to one comparison of a captured
biometric with a stored template to verify that the
individual is who he claims to be. Can be done in
conjunction with a smart card, users name or ID
number.
Identification : A one to one comparison of the captured
biometric against a biometric database in attempt to
identify an unknown individual.
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BASIC BLOCK DIAGRAM OF A BI OMETRIC
SYSTEM
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Enrollment: The first time an individual uses a biometric
system is called enrollment.During enrollment biometric information from an individual
is stored.
In subsequent uses biometric information is detected and
compared.
The first block (sensor) is the interface between the real
world and the system, it has to acquire all the necessary data.
Most of the times it is an image acquisition system.
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Second block performs all the necessary pre- processing: it has to remove artifacts from the
sensor, to enhance the input ( eg: removing
background noise), to use some kind of
normalization.
In the Third block features needed are extracted.
Correct features need to be extracted in an optimal way. A vector of numbers or an image with
particular properties is used to create a template.
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� Template - template is a synthesis of the relevant characteristics
extracted from the source.- biometric measurements that are not used in the algorithm are
discarded in the template to reduce the file size.
- if enrollment is being performed the template is simply stored
somewhere.- if a matching phase is being performed the obtained template is
passed to a matcher that compares it with other existing
templates.
- the matching program will analyze the template with input. Thiswill then be output for any specified use or purpose.
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PERF ORMANCE:The following are used as performance metrics for biometric systems:
False accept rate or false match rate ( FAR or FMR ) : the probability
that the system incorrectly matches the input pattern to a non-
matching template in the database. Measures the percent of invalid
inputs which are incorrectly accepted.
False reject rate or false non-match rate (FRR or FNMR) : the
probability that the system fails to detect a match between the input
pattern and a matching template in the database. It measures the percent of valid inputs which are incorrectly rejected.
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PERF ORMANCE
Receiver operating characteristic or Relative operating
characteristic (ROC) - is a visual charactization of the trade-off
between the FAR and the FRR. In general, the matching algorithm
performs a decision based on a threshold which determines how
close to a template the input needs to be for it to be considered a
match. If the threshold is reduced, there will be less false non-
matches but more false accepts.
Equal error rate or crossover error rate (EER or CER) ± the rate at which both accept and reject errors are equal.
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Failure to enroll rate (FTE or FER) ± the rate at which attempts to
create a template from an input is unsuccessful. This is most
commonly caused by low quality inputs.
Failure to capture rate (FTC) ± Within automatic systems, the
probability that the system fails to detect a biometric input when
presented correctly.
Template capacity ± the maximum number of sets of data which
can be stored in the system.
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WHY USE BI OMETRICS?
� Only biometrics can verify you as you
� Tokens (smartcards, etc.) aren't you and can be:
± lost
± stolen
± duplicated (some)
± forgotten
� Passwords aren't you and can be:
± forgotten
± shared
± observed
± broken
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Fingerprint Technology
� Local Features (Minutiae)
� Characteristics
± Type
± Orientation
± Spatial Frequency
± Curvature
± Position
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Iris Technology
� Based on visible features, i.e. rings, furrows, freckles and the
corona� Iris essentially formed by 8 months of age and remains stable
through life
� Each iris has 266 unique spots vs. 13-60 for other biometrics
� Features and their location are used to form the IrisCodeT, whichis the digital template (512 bytes)
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Face Technology
� Uses low cost off-the-shelf camera at low speed, low resolution
(3-5fps, 320x240)
� Several pictures taken at enrollment to allow for more accurate
searches
� All technologies emphasize facial features that are less
susceptible to alteration such as eye sockets, cheekbones, sides
of mouth
� Features extracted to form template (1300 bytes)
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Voice Technology
� Voice recognition is not the same as speech recognition
� Considered physiological and behavioral
� Popular and low-cost, but less accurate and sometimes lengthy
enrollment
� Capable of working over the phone
± telephone banking
± password reset
± calling card security ± call center authentication (i.e. home alarm systems)
± probation/house arrest monitoring
� Many vendors; many proprietary technologies
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Cultural & Social Issues
� In any large scenario some portion of the general population is
likely to be physiologically unable to use one or more technique.
� Some people have a concern for the physical effects of thetechnology upon them. This accounts for the greater acceptance
of newer iris recognition technology over the older retinal scan
technology.
� Religious and cultural concerns may also need to be
accommodated by organizations implementing biometric
technology. For example, certain cultures and religions prohibit
or look with great disfavor upon photographing of individuals.