Analysis of Fingerprint Authentication Methods and Performance Metrics

This report provides a comprehensive overview of fingerprint authentication methods, focusing on correlation-based, minutiae-based, and non-minutiae feature-based matching techniques. It delves into the fingerprint identification process, highlighting its use in evaluating friction skin ridge details from palms or fingers. The report also addresses various types of fingerprinting errors, including False Rejection Rate, False Acceptance Rate, and Equal Error Rate, while examining the transformation and integration of biometric capabilities. Furthermore, it discusses the factors influencing fingerprint integration and the importance of combining fingerprint biometrics with other security measures. The conclusion emphasizes the critical role of fingerprint biometric technology in tackling security challenges, while advocating for well-informed decisions and cost-benefit analysis before implementation. Desklib offers a wide range of resources, including past papers and solved assignments, to aid students in their understanding of this subject.

Fingerprinting Authentication
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Presentation Outline
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Introduction
Research Questions
Fingerprint Matching ->correlation, minutia and non-minutiae
matching methods
Performance Evaluation
Future Work
Conclusion
References

Introduction
 Fingerprints appear at the patterns discovered on
a fingertip. There are multiplicities of methods to
fingerprint authentication for example as
customary police technique, by means of
pattern-matching systems or tools, plus things
similar to more border patterns plus Ultra-Sonics.
 This appears to be an extremely high-quality
preference for in-house systems. In the
identification of fingerprints, various techniques
are used, which include using ultraviolet light
which identifies a fingerprint on surfaces in which
fingerprints cannot be seen easily.
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Introduction Cont.
 Fingerprints are scanned into the
automated fingerprint system where ridge
details and other identifying characteristics
are digitized in such in detail that the system
can find a match among the millions of
fingerprints that are available in the
database.
 This new structure of identification has
helped governments in different ways. It is
vastly used in civil identification projects like
registration for elections, driving license,
welfare systems et cetera.
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Research Questions
This aim of this research is to explore the various fingerprint
matching methods and in particular correlation-based
matching, minutiae-based matching, and non-minutiae
feature-based matching. The report also purposes to identify
fingerprinting errors such as False Rejection Rate, False
Acceptance Rate, Equal Error Rate, Zero FMR, and Zero FNMR.
The research questions are given as follows:
a) What are the various methods for fingerprint matching?
b) What are the types of fingerprinting errors?
c) What are the transformation and integration of biometric
capabilities and issues that arise when integrating these
biometric methods?
d) What are the factors influencing fingerprint integration?
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Fingerprint Matching
 The fingerprint identification and matching
process are used to evaluate the strange
and the recognized friction skin ridge
feelings from palms or fingers.
 The identification helps to ascertain if the
impressions are from the identical palm or
finger.
 The roughness of the ridged skin is flexible
meaning that there cannot be two
fingerprints that are exactly similar.
 Identification can also be termed as
individualization
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Correlation-Based Matching

Minutiae-Based Matching
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Non-Minutiae Feature-Based Matching
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Performance Evaluation
 Bose & Kabir (2017), point out at biometric
identity verification as a radical alternative to
these traditional forms of identification and
verification.
 Biometrics technology employs behavioral or
physiological traits to identify the identity of
individuals, including fingerprints, retinas, typing
styles, teeth, and speech recognition and hand
geometry.
 Since the biometrics would be an individual’s
intrinsic property, duplication, and sharing of
user identity become difficult.
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Future Work
 Those who remain skeptical about
fingerprint biometrics technology for
reasons like performance, accuracy, and
reliability should combine these security
systems with other available security
measures such as smart cards.
 Fingerprint biometric technology would not
solely provide accurate information needed.
 Otherwise, innovation in this field is
expected to continue, and humans would
always seek to come up with better
foolproof techniques and tools in fingerprint
biometrics.
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Conclusion
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 In spite of some few cases of inaccurate
information, today, fingerprint biometric
technology has become a critical solution in
tackling security challenges in government
agencies and private corporations.
 But even before implementation, well-
informed decisions should be made on the
technology to use, and detailed cost-benefit
analysis and assessment conducted so as to
ensure that the gains from such systems
outweigh the incurred costs.

References
Bose, P. K., & Kabir, M. J. (2017). Fingerprint: A Unique and Reliable Method for Identification. Journal
of Enam Medical College, 7(1), 29–34. https://doi.org/10.3329/jemc.v7i1.30748
Byeong, W., Heo, S., Ji, S., Bien, F., & Park, J.-U. (2018). Transparent and flexible fingerprint sensor
array with multiplexed detection of tactile pressure and skin temperature. Nature Communications,
9(1), 2458. https://doi.org/10.1038/s41467-018-04906-1
Cao, K., & Jain, A. K. (2019). Automated Latent Fingerprint Recognition. IEEE Transactions on Pattern
Analysis and Machine Intelligence, 41(4), 788–800. https://doi.org/10.1109/TPAMI.2018.2818162
Cao, Kai, Yang, X., Chen, X., Tao, X., Zang, Y., Liang, J., & Tian, J. (2012). Minutia handedness: A novel
global feature for minutiae-based fingerprint matching. Pattern Recognition Letters, 33(10), 1411–
1421. https://doi.org/10.1016/j.patrec.2012.03.007
Champod, C. (2015). Fingerprint identification: advances since the 2009 National Research Council
report. Philosophical Transactions of the Royal Society B: Biological Sciences, 370(1674), 20140259.
https://doi.org/10.1098/rstb.2014.0259
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