Minutiae set to bit-string conversion using multi-scale bag-of-words paradigm

Wei Jing Wong, M. L.Dennis Wong, Yau Hee Kho, Andrew Beng Jin Teoh

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Minutiae-based matching is commonly used in fingerprint recognition systems due to its proven performance. However, such matching procedure usually involves unordered and variable size templates and it does not favour emerging bio-cryptography applications and most classifiers. This paper proposes a solution by converting the original minutiae set into a bit-string through the amalgamation of bag-of-words modelling, multi-scale construction and dynamic quantization. Experimental results show that the proposed method has high potential in biocryptography applications due to its outstanding EER of < 0:51% and entropy of 723 bits. Further security and privacy concerns are also analyzed.

Original languageEnglish
Title of host publication2014 IEEE International Workshop on Information Forensics and Security, WIFS 2014
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1-6
Number of pages6
ISBN (Electronic)9781479988822
DOIs
Publication statusPublished - 2015 Apr 10
Event2014 IEEE International Workshop on Information Forensics and Security, WIFS 2014 - Atlanta, United States
Duration: 2014 Dec 32014 Dec 5

Other

Other2014 IEEE International Workshop on Information Forensics and Security, WIFS 2014
CountryUnited States
CityAtlanta
Period14/12/314/12/5

Fingerprint

Cryptography
Classifiers
Entropy
Paradigm
Classifier
Modeling
Quantization
Template
Privacy concerns

All Science Journal Classification (ASJC) codes

  • Computer Science Applications
  • Information Systems
  • Information Systems and Management
  • Safety, Risk, Reliability and Quality

Cite this

Wong, W. J., Wong, M. L. D., Kho, Y. H., & Teoh, A. B. J. (2015). Minutiae set to bit-string conversion using multi-scale bag-of-words paradigm. In 2014 IEEE International Workshop on Information Forensics and Security, WIFS 2014 (pp. 1-6). [7084294] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/WIFS.2014.7084294
Wong, Wei Jing ; Wong, M. L.Dennis ; Kho, Yau Hee ; Teoh, Andrew Beng Jin. / Minutiae set to bit-string conversion using multi-scale bag-of-words paradigm. 2014 IEEE International Workshop on Information Forensics and Security, WIFS 2014. Institute of Electrical and Electronics Engineers Inc., 2015. pp. 1-6
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abstract = "Minutiae-based matching is commonly used in fingerprint recognition systems due to its proven performance. However, such matching procedure usually involves unordered and variable size templates and it does not favour emerging bio-cryptography applications and most classifiers. This paper proposes a solution by converting the original minutiae set into a bit-string through the amalgamation of bag-of-words modelling, multi-scale construction and dynamic quantization. Experimental results show that the proposed method has high potential in biocryptography applications due to its outstanding EER of < 0:51{\%} and entropy of 723 bits. Further security and privacy concerns are also analyzed.",
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Wong, WJ, Wong, MLD, Kho, YH & Teoh, ABJ 2015, Minutiae set to bit-string conversion using multi-scale bag-of-words paradigm. in 2014 IEEE International Workshop on Information Forensics and Security, WIFS 2014., 7084294, Institute of Electrical and Electronics Engineers Inc., pp. 1-6, 2014 IEEE International Workshop on Information Forensics and Security, WIFS 2014, Atlanta, United States, 14/12/3. https://doi.org/10.1109/WIFS.2014.7084294

Minutiae set to bit-string conversion using multi-scale bag-of-words paradigm. / Wong, Wei Jing; Wong, M. L.Dennis; Kho, Yau Hee; Teoh, Andrew Beng Jin.

2014 IEEE International Workshop on Information Forensics and Security, WIFS 2014. Institute of Electrical and Electronics Engineers Inc., 2015. p. 1-6 7084294.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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Wong WJ, Wong MLD, Kho YH, Teoh ABJ. Minutiae set to bit-string conversion using multi-scale bag-of-words paradigm. In 2014 IEEE International Workshop on Information Forensics and Security, WIFS 2014. Institute of Electrical and Electronics Engineers Inc. 2015. p. 1-6. 7084294 https://doi.org/10.1109/WIFS.2014.7084294