Binary Representations of Fingerprint Spectral Minutiae Features

H. Xu; Raymond N.J. Veldhuis

doi:10.1109/ICPR.2010.302

Binary Representations of Fingerprint Spectral Minutiae Features

H. Xu
, Raymond N.J. Veldhuis

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

21 Citations (Scopus)

379 Downloads (Pure)

Abstract

A fixed-length binary representation of a fingerprint has the advantages of a fast operation and a small template storage. For many biometric template protection schemes, a binary string is also required as input. The spectral minutiae representation is a method to represent a minutiae set as a fixed-length real-valued feature vector. In order to be able to apply the spectral minutiae representation with a template protection scheme, we introduce two novel methods to quantize the spectral minutiae features into binary strings: Spectral Bits and Phase Bits. The experiments on the FVC2002 database show that the binary representations can even outperformed the spectral minutiae real-valued features.

Original language	Undefined
Title of host publication	20th International Conference on Pattern Recognition (ICPR 2010)
Publisher	IEEE
Pages	1212-1216
Number of pages	5
ISBN (Print)	978-1-4244-7542-1
DOIs	https://doi.org/10.1109/ICPR.2010.302
Publication status	Published - Aug 2010
Event	20th International Conference on Pattern Recognition 2010 - Istanbul Convention & Exhibition Centre, Istanbul, Turkey Duration: 23 Aug 2010 → 26 Aug 2010 Conference number: 20 https://www.ieee.org/conferences_events/conferences/conferencedetails/index.html?Conf_ID=16097

Publication series

Name
Publisher	IEEE Computer Society Press

Conference

Conference	20th International Conference on Pattern Recognition 2010
Abbreviated title	ICPR 2010
Country/Territory	Turkey
City	Istanbul
Period	23/08/10 → 26/08/10
Internet address	https://www.ieee.org/conferences_events/conferences/conferencedetails/index.html?Conf_ID=16097

Keywords

METIS-271065
IR-73656
Fingerprints
SCS-Safety
EWI-18581
Template Protection
Biometrics

Access to Document

10.1109/ICPR.2010.302

Cite this

@inproceedings{5d38dbab1c594c25bd7b99f8ea920fb8,

title = "Binary Representations of Fingerprint Spectral Minutiae Features",

abstract = "A fixed-length binary representation of a fingerprint has the advantages of a fast operation and a small template storage. For many biometric template protection schemes, a binary string is also required as input. The spectral minutiae representation is a method to represent a minutiae set as a fixed-length real-valued feature vector. In order to be able to apply the spectral minutiae representation with a template protection scheme, we introduce two novel methods to quantize the spectral minutiae features into binary strings: Spectral Bits and Phase Bits. The experiments on the FVC2002 database show that the binary representations can even outperformed the spectral minutiae real-valued features.",

keywords = "METIS-271065, IR-73656, Fingerprints, SCS-Safety, EWI-18581, Template Protection, Biometrics",

author = "H. Xu and Veldhuis, \{Raymond N.J.\}",

note = "10.1109/ICPR.2010.302 ; 20th International Conference on Pattern Recognition 2010 ; Conference date: 23-08-2010 Through 26-08-2010",

year = "2010",

month = aug,

doi = "10.1109/ICPR.2010.302",

language = "Undefined",

isbn = "978-1-4244-7542-1",

publisher = "IEEE",

pages = "1212--1216",

booktitle = "20th International Conference on Pattern Recognition (ICPR 2010)",

address = "United States",

url = "https://www.ieee.org/conferences\_events/conferences/conferencedetails/index.html?Conf\_ID=16097",

}

TY - GEN

T1 - Binary Representations of Fingerprint Spectral Minutiae Features

AU - Xu, H.

AU - Veldhuis, Raymond N.J.

N1 - Conference code: 20

PY - 2010/8

Y1 - 2010/8

N2 - A fixed-length binary representation of a fingerprint has the advantages of a fast operation and a small template storage. For many biometric template protection schemes, a binary string is also required as input. The spectral minutiae representation is a method to represent a minutiae set as a fixed-length real-valued feature vector. In order to be able to apply the spectral minutiae representation with a template protection scheme, we introduce two novel methods to quantize the spectral minutiae features into binary strings: Spectral Bits and Phase Bits. The experiments on the FVC2002 database show that the binary representations can even outperformed the spectral minutiae real-valued features.

AB - A fixed-length binary representation of a fingerprint has the advantages of a fast operation and a small template storage. For many biometric template protection schemes, a binary string is also required as input. The spectral minutiae representation is a method to represent a minutiae set as a fixed-length real-valued feature vector. In order to be able to apply the spectral minutiae representation with a template protection scheme, we introduce two novel methods to quantize the spectral minutiae features into binary strings: Spectral Bits and Phase Bits. The experiments on the FVC2002 database show that the binary representations can even outperformed the spectral minutiae real-valued features.

KW - METIS-271065

KW - IR-73656

KW - Fingerprints

KW - SCS-Safety

KW - EWI-18581

KW - Template Protection

KW - Biometrics

U2 - 10.1109/ICPR.2010.302

DO - 10.1109/ICPR.2010.302

M3 - Conference contribution

SN - 978-1-4244-7542-1

SP - 1212

EP - 1216

BT - 20th International Conference on Pattern Recognition (ICPR 2010)

PB - IEEE

T2 - 20th International Conference on Pattern Recognition 2010

Y2 - 23 August 2010 through 26 August 2010

ER -