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

Author

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

Author_Institution

Fac. of Eng., Comput. & Sci., Swinburne Univ. of Technol., Kuching, Malaysia

fYear

2014

Firstpage

1

Lastpage

6

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.

Keywords

cryptography; data privacy; fingerprint identification; image matching; bag-of-words modelling; biocryptography application; bit-string conversion; dynamic quantization; fingerprint recognition system; minutiae set; minutiae-based matching procedure; multiscale bag-of-words paradigm; privacy concern; security concern; Entropy; Feature extraction; Forensics; Histograms; Quantization (signal); Security; Training; Fingerprint recognition; minutiae-based matching; multi-line code; multi-scale bag-of-words;

fLanguage

English

Publisher

ieee

Conference_Titel

Information Forensics and Security (WIFS), 2014 IEEE International Workshop on

Type

conf

DOI

10.1109/WIFS.2014.7084294

Filename

7084294