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

3 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 languageEnglish
Title of host publication2014 IEEE International Workshop on Information Forensics and Security, WIFS 2014
PublisherIEEE
Pages1-6
Number of pages6
ISBN (Electronic)9781479988822
DOIs
Publication statusPublished - Apr 2015
Event2014 IEEE International Workshop on Information Forensics and Security, WIFS 2014 - Atlanta, United States
Duration: 3 Dec 20145 Dec 2014

Conference

Conference2014 IEEE International Workshop on Information Forensics and Security, WIFS 2014
CountryUnited States
CityAtlanta
Period3/12/145/12/14

Keywords

  • Fingerprint recognition
  • minutiae-based matching
  • multi-line code
  • multi-scale bag-of-words

ASJC Scopus subject areas

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

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  • Cite this

    Wong, W. J., Wong, M. L. D., Kho, Y. H., Beng, A., & Teoh, 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] IEEE. https://doi.org/10.1109/WIFS.2014.7084294