Binary palmprint representation for feature template protection

Meiru Mu, Qiuqi Ruan, Xiaoying Shao, Luuk Spreeuwers, Raymond Veldhuis

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

4 Downloads (Pure)

Abstract

The major challenge of biometric template protection comes from the intraclass variations of biometric data. The helper data scheme aims to solve this problem by employing the Error Correction Codes (ECC). However, many reported biometric binary features from the same user reach bit error rate (BER) as high as 40%, which exceeds the error correcting capability of most ECC (less than 25%). Therefore, a novel palmprint binary feature extraction method is proposed in this paper. The real-valued features are firstly extracted. Then one-bit quantization and reliable bits selection are processed. For verification multiple samples are required to be enrolled while training is not necessary. Experiments have been carried out on the HongKong PolyU Palmprint database. Results show that our method achieves much lower BER, lower verification error rate and allows a secret key long enough for security.
Original languageEnglish
Title of host publication33rd Symposium on Information Theory in the Benelux and the 2nd Joint WIC/IEEE Symposium on Information Theory and Signal Processing in the Benelux
Place of PublicationEnschede
PublisherWerkgemeenschap voor Informatie- en Communicatietheorie (WIC)
Pages118-125
Number of pages8
ISBN (Print)978-90-365-3383-6
Publication statusPublished - 24 May 2012
Event33rd WIC Symposium on Information Theory in the Benelux and the 2nd Joint WIC/IEEE Symposium on Information Theory and Signal Processing in the Benelux 2012 - Boekelo, Netherlands
Duration: 24 May 201225 May 2012
Conference number: 33

Conference

Conference33rd WIC Symposium on Information Theory in the Benelux and the 2nd Joint WIC/IEEE Symposium on Information Theory and Signal Processing in the Benelux 2012
CountryNetherlands
CityBoekelo
Period24/05/1225/05/12

Fingerprint

Biometrics
Error correction
Bit error rate
Feature extraction
Experiments

Keywords

  • SCS-Safety
  • Biometric data
  • IR-83636
  • Palmprint
  • METIS-296254
  • EWI-22964

Cite this

Mu, M., Ruan, Q., Shao, X., Spreeuwers, L., & Veldhuis, R. (2012). Binary palmprint representation for feature template protection. In 33rd Symposium on Information Theory in the Benelux and the 2nd Joint WIC/IEEE Symposium on Information Theory and Signal Processing in the Benelux (pp. 118-125). Enschede: Werkgemeenschap voor Informatie- en Communicatietheorie (WIC).
Mu, Meiru ; Ruan, Qiuqi ; Shao, Xiaoying ; Spreeuwers, Luuk ; Veldhuis, Raymond. / Binary palmprint representation for feature template protection. 33rd Symposium on Information Theory in the Benelux and the 2nd Joint WIC/IEEE Symposium on Information Theory and Signal Processing in the Benelux. Enschede : Werkgemeenschap voor Informatie- en Communicatietheorie (WIC), 2012. pp. 118-125
@inproceedings{07b2289bfc054a6a949e1b713cd96933,
title = "Binary palmprint representation for feature template protection",
abstract = "The major challenge of biometric template protection comes from the intraclass variations of biometric data. The helper data scheme aims to solve this problem by employing the Error Correction Codes (ECC). However, many reported biometric binary features from the same user reach bit error rate (BER) as high as 40{\%}, which exceeds the error correcting capability of most ECC (less than 25{\%}). Therefore, a novel palmprint binary feature extraction method is proposed in this paper. The real-valued features are firstly extracted. Then one-bit quantization and reliable bits selection are processed. For verification multiple samples are required to be enrolled while training is not necessary. Experiments have been carried out on the HongKong PolyU Palmprint database. Results show that our method achieves much lower BER, lower verification error rate and allows a secret key long enough for security.",
keywords = "SCS-Safety, Biometric data, IR-83636, Palmprint, METIS-296254, EWI-22964",
author = "Meiru Mu and Qiuqi Ruan and Xiaoying Shao and Luuk Spreeuwers and Raymond Veldhuis",
year = "2012",
month = "5",
day = "24",
language = "English",
isbn = "978-90-365-3383-6",
pages = "118--125",
booktitle = "33rd Symposium on Information Theory in the Benelux and the 2nd Joint WIC/IEEE Symposium on Information Theory and Signal Processing in the Benelux",
publisher = "Werkgemeenschap voor Informatie- en Communicatietheorie (WIC)",
address = "Netherlands",

}

Mu, M, Ruan, Q, Shao, X, Spreeuwers, L & Veldhuis, R 2012, Binary palmprint representation for feature template protection. in 33rd Symposium on Information Theory in the Benelux and the 2nd Joint WIC/IEEE Symposium on Information Theory and Signal Processing in the Benelux. Werkgemeenschap voor Informatie- en Communicatietheorie (WIC), Enschede, pp. 118-125, 33rd WIC Symposium on Information Theory in the Benelux and the 2nd Joint WIC/IEEE Symposium on Information Theory and Signal Processing in the Benelux 2012, Boekelo, Netherlands, 24/05/12.

Binary palmprint representation for feature template protection. / Mu, Meiru; Ruan, Qiuqi; Shao, Xiaoying; Spreeuwers, Luuk; Veldhuis, Raymond.

33rd Symposium on Information Theory in the Benelux and the 2nd Joint WIC/IEEE Symposium on Information Theory and Signal Processing in the Benelux. Enschede : Werkgemeenschap voor Informatie- en Communicatietheorie (WIC), 2012. p. 118-125.

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

TY - GEN

T1 - Binary palmprint representation for feature template protection

AU - Mu, Meiru

AU - Ruan, Qiuqi

AU - Shao, Xiaoying

AU - Spreeuwers, Luuk

AU - Veldhuis, Raymond

PY - 2012/5/24

Y1 - 2012/5/24

N2 - The major challenge of biometric template protection comes from the intraclass variations of biometric data. The helper data scheme aims to solve this problem by employing the Error Correction Codes (ECC). However, many reported biometric binary features from the same user reach bit error rate (BER) as high as 40%, which exceeds the error correcting capability of most ECC (less than 25%). Therefore, a novel palmprint binary feature extraction method is proposed in this paper. The real-valued features are firstly extracted. Then one-bit quantization and reliable bits selection are processed. For verification multiple samples are required to be enrolled while training is not necessary. Experiments have been carried out on the HongKong PolyU Palmprint database. Results show that our method achieves much lower BER, lower verification error rate and allows a secret key long enough for security.

AB - The major challenge of biometric template protection comes from the intraclass variations of biometric data. The helper data scheme aims to solve this problem by employing the Error Correction Codes (ECC). However, many reported biometric binary features from the same user reach bit error rate (BER) as high as 40%, which exceeds the error correcting capability of most ECC (less than 25%). Therefore, a novel palmprint binary feature extraction method is proposed in this paper. The real-valued features are firstly extracted. Then one-bit quantization and reliable bits selection are processed. For verification multiple samples are required to be enrolled while training is not necessary. Experiments have been carried out on the HongKong PolyU Palmprint database. Results show that our method achieves much lower BER, lower verification error rate and allows a secret key long enough for security.

KW - SCS-Safety

KW - Biometric data

KW - IR-83636

KW - Palmprint

KW - METIS-296254

KW - EWI-22964

M3 - Conference contribution

SN - 978-90-365-3383-6

SP - 118

EP - 125

BT - 33rd Symposium on Information Theory in the Benelux and the 2nd Joint WIC/IEEE Symposium on Information Theory and Signal Processing in the Benelux

PB - Werkgemeenschap voor Informatie- en Communicatietheorie (WIC)

CY - Enschede

ER -

Mu M, Ruan Q, Shao X, Spreeuwers L, Veldhuis R. Binary palmprint representation for feature template protection. In 33rd Symposium on Information Theory in the Benelux and the 2nd Joint WIC/IEEE Symposium on Information Theory and Signal Processing in the Benelux. Enschede: Werkgemeenschap voor Informatie- en Communicatietheorie (WIC). 2012. p. 118-125