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

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dc.contributor.author Jin Teoh, Andrew Beng
dc.contributor.authorKho, Yau Hee
dc.contributor.authorDennis Wong, M. L.
dc.contributor.authorWong, Wei Jing
dc.contributor.institutionNazarbayev University Electrical and Electronic Engineering Department
dc.date.accessioned2025
dc.date.issued2014
dc.description.abstractMinutiae-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.
dc.identifier.citationWong, W. J., Wong, M. D., Kho, Y. H., & Teoh, A. B. J. (2014, December). Minutiae set to bit-string conversion using multi-scale bag-of-words paradigm. In 2014 IEEE International Workshop on Information Forensics and Security (WIFS) (pp. 1-6). IEEE. https://doi.org/10.1109/WIFS.2014.7084294
dc.identifier.doi10.1109/WIFS.2014.7084294
dc.identifier.urihttps://doi.org/10.1109/WIFS.2014.7084294
dc.identifier.urihttps://nur.nu.edu.kz/handle/123456789/15995
dc.languageen
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)
dc.rightsMetadata only
dc.sourceIEEE International Workshop on Information Forensics and Security (WIFS), Atlanta, GA, USA, December 2014
dc.subjectFingerprint recognition
dc.subjectMulti-line code
dc.subjectMulti-scale bag-of-words
dc.subjectMinutiae-based matching
dc.subjectMechanical engineering
dc.subjectEngineering
dc.subjectData mining
dc.subjectFingerprint recognition
dc.subjectPattern matching
dc.subjectTheoretical computer science
dc.subjectSet (abstract data type)
dc.subjectFingerprint (computing)
dc.subjectPattern recognition (psychology)
dc.subjectEntropy (arrow of time)
dc.subjectBit array
dc.subjectString searching algorithm
dc.subjectQuantization (signal processing)
dc.subjectMinutiae
dc.titleMinutiae set to bit-string conversion using multi-scale bag-of-words paradigm
dc.typeArticle

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