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

doi:10.1109/WIFS.2014.7084294

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

Department of Electrical and Electronic Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

4 Citations (Scopus)

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 language	English
Title of host publication	2014 IEEE International Workshop on Information Forensics and Security, WIFS 2014
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	1-6
Number of pages	6
ISBN (Electronic)	9781479988822
DOIs	https://doi.org/10.1109/WIFS.2014.7084294
Publication status	Published - 2015 Apr 10
Event	2014 IEEE International Workshop on Information Forensics and Security, WIFS 2014 - Atlanta, United States Duration: 2014 Dec 3 → 2014 Dec 5

Publication series

Name	2014 IEEE International Workshop on Information Forensics and Security, WIFS 2014

Other

Other	2014 IEEE International Workshop on Information Forensics and Security, WIFS 2014
Country/Territory	United States
City	Atlanta
Period	14/12/3 → 14/12/5

Bibliographical note

Publisher Copyright:
© 2014 IEEE.

All Science Journal Classification (ASJC) codes

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

Access to Document

10.1109/WIFS.2014.7084294

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] (2014 IEEE International Workshop on Information Forensics and Security, WIFS 2014). 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 et al. / 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 (2014 IEEE International Workshop on Information Forensics and Security, WIFS 2014).

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title = "Minutiae set to bit-string conversion using multi-scale bag-of-words paradigm",

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.",

author = "Wong, {Wei Jing} and Wong, {M. L.Dennis} and Kho, {Yau Hee} and Teoh, {Andrew Beng Jin}",

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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, 2014 IEEE International Workshop on Information Forensics and Security, WIFS 2014, 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 et al.

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

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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N2 - 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.

AB - 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. 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. (2014 IEEE International Workshop on Information Forensics and Security, WIFS 2014). doi: 10.1109/WIFS.2014.7084294

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

Abstract

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