Fast and robust biometric authentication scheme using human ear

Mohammad Mozammel Hoque Chowdhury; MD Rafiqul Islam; Junbin Gao

doi:10.1007/978-3-319-78816-6_11

Fast and robust biometric authentication scheme using human ear

Mohammad Mozammel Hoque Chowdhury, MD Rafiqul Islam, Junbin Gao

The University of Sydney

Research output: Book chapter/Published conference paper › Conference paper › peer-review

1 Citation (Scopus)

Abstract

Biometric authentication using human ear is a recent trend in security applications including access control, user recognition, surveillance, forensic, and border security systems. This paper aims to propose a fast and robust authentication scheme using ear biometric. In this work, a fast technique based on the AdaBoost algorithm is used to detect the ear of the user from profile images. An efficient stereo matching algorithm is used to match the user’s ear data (probe) to the previously enrolled (stored) ear data in a gallery database for verification and recognition. Correspondences are established between extracted features of the probe and gallery image sequences. The performance of the recognition approach is evaluated on different standard ear datasets and compared with other techniques. Experimental results suggest the superiority of the proposed approach over other popular techniques reported in this work.

Original language	English
Title of host publication	Security and privacy in communication networks
Subtitle of host publication	SecureComm 2017 International Workshops, ATCS and SePrIoT, Niagara Falls, ON, Canada, October 22–25, 2017, Proceedings
Editors	Xiaodong Lin, Ali Ghorbani, Kui Ren, Sencun Zhu, Aiqing Zhang
Place of Publication	Cham
Publisher	Springer
Pages	133-144
Number of pages	12
ISBN (Electronic)	9783319788166
ISBN (Print)	9783319788159
DOIs	https://doi.org/10.1007/978-3-319-78816-6_11
Publication status	Published - 25 Apr 2018
Event	13th International Conference on Security and Privacy in Communication Networks: SecureComm 2017 - Crowne Plaza Niagara Falls – Fallsview, Niagara Falls, Canada Duration: 22 Oct 2017 → 25 Oct 2017 https://securecomm.eai-conferences.org/2017/ (Conference website)

Publication series

Name	Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
Publisher	Springer
Volume	239
ISSN (Electronic)	1867-8211

Conference

Conference	13th International Conference on Security and Privacy in Communication Networks
Country/Territory	Canada
City	Niagara Falls
Period	22/10/17 → 25/10/17
Other	SecureComm seeks high-quality research contributions in the form of well-developed papers. Topics of interest encompass research advances in ALL areas of secure communications and networking. Topics in other areas (e.g., formal methods, database security, secure software, theoretical cryptography) will be considered only if a clear connection to private or secure communication/networking is demonstrated.
Internet address	https://securecomm.eai-conferences.org/2017/ (Conference website)

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10.1007/978-3-319-78816-6_11

Cite this

Chowdhury, M. M. H., Islam, MD. R., & Gao, J. (2018). Fast and robust biometric authentication scheme using human ear. In X. Lin, A. Ghorbani, K. Ren, S. Zhu, & A. Zhang (Eds.), Security and privacy in communication networks: SecureComm 2017 International Workshops, ATCS and SePrIoT, Niagara Falls, ON, Canada, October 22–25, 2017, Proceedings (pp. 133-144). (Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering; Vol. 239). Springer. https://doi.org/10.1007/978-3-319-78816-6_11

Chowdhury, Mohammad Mozammel Hoque ; Islam, MD Rafiqul ; Gao, Junbin. / Fast and robust biometric authentication scheme using human ear. Security and privacy in communication networks: SecureComm 2017 International Workshops, ATCS and SePrIoT, Niagara Falls, ON, Canada, October 22–25, 2017, Proceedings. editor / Xiaodong Lin ; Ali Ghorbani ; Kui Ren ; Sencun Zhu ; Aiqing Zhang. Cham : Springer, 2018. pp. 133-144 (Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering).

@inproceedings{5d69723a7c334362b8fdbda573f11ccc,

title = "Fast and robust biometric authentication scheme using human ear",

abstract = "Biometric authentication using human ear is a recent trend in security applications including access control, user recognition, surveillance, forensic, and border security systems. This paper aims to propose a fast and robust authentication scheme using ear biometric. In this work, a fast technique based on the AdaBoost algorithm is used to detect the ear of the user from profile images. An efficient stereo matching algorithm is used to match the user{\textquoteright}s ear data (probe) to the previously enrolled (stored) ear data in a gallery database for verification and recognition. Correspondences are established between extracted features of the probe and gallery image sequences. The performance of the recognition approach is evaluated on different standard ear datasets and compared with other techniques. Experimental results suggest the superiority of the proposed approach over other popular techniques reported in this work.",

keywords = "Biometric authentication, Access control, Ear recognition",

author = "Chowdhury, {Mohammad Mozammel Hoque} and Islam, {MD Rafiqul} and Junbin Gao",

note = "Includes bibliographical references.; 13th International Conference on Security and Privacy in Communication Networks : SecureComm 2017 ; Conference date: 22-10-2017 Through 25-10-2017",

year = "2018",

month = apr,

day = "25",

doi = "10.1007/978-3-319-78816-6_11",

language = "English",

isbn = "9783319788159",

series = "Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering",

publisher = "Springer",

pages = "133--144",

editor = "Xiaodong Lin and Ali Ghorbani and Kui Ren and Sencun Zhu and Aiqing Zhang",

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Chowdhury, MMH, Islam, MDR & Gao, J 2018, Fast and robust biometric authentication scheme using human ear. in X Lin, A Ghorbani, K Ren, S Zhu & A Zhang (eds), Security and privacy in communication networks: SecureComm 2017 International Workshops, ATCS and SePrIoT, Niagara Falls, ON, Canada, October 22–25, 2017, Proceedings. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol. 239, Springer, Cham, pp. 133-144, 13th International Conference on Security and Privacy in Communication Networks, Niagara Falls, Ontario, Canada, 22/10/17. https://doi.org/10.1007/978-3-319-78816-6_11

Fast and robust biometric authentication scheme using human ear. / Chowdhury, Mohammad Mozammel Hoque; Islam, MD Rafiqul; Gao, Junbin.
Security and privacy in communication networks: SecureComm 2017 International Workshops, ATCS and SePrIoT, Niagara Falls, ON, Canada, October 22–25, 2017, Proceedings. ed. / Xiaodong Lin; Ali Ghorbani; Kui Ren; Sencun Zhu; Aiqing Zhang. Cham: Springer, 2018. p. 133-144 (Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering; Vol. 239).

Research output: Book chapter/Published conference paper › Conference paper › peer-review

TY - GEN

T1 - Fast and robust biometric authentication scheme using human ear

AU - Chowdhury, Mohammad Mozammel Hoque

AU - Islam, MD Rafiqul

AU - Gao, Junbin

N1 - Includes bibliographical references.

PY - 2018/4/25

Y1 - 2018/4/25

N2 - Biometric authentication using human ear is a recent trend in security applications including access control, user recognition, surveillance, forensic, and border security systems. This paper aims to propose a fast and robust authentication scheme using ear biometric. In this work, a fast technique based on the AdaBoost algorithm is used to detect the ear of the user from profile images. An efficient stereo matching algorithm is used to match the user’s ear data (probe) to the previously enrolled (stored) ear data in a gallery database for verification and recognition. Correspondences are established between extracted features of the probe and gallery image sequences. The performance of the recognition approach is evaluated on different standard ear datasets and compared with other techniques. Experimental results suggest the superiority of the proposed approach over other popular techniques reported in this work.

AB - Biometric authentication using human ear is a recent trend in security applications including access control, user recognition, surveillance, forensic, and border security systems. This paper aims to propose a fast and robust authentication scheme using ear biometric. In this work, a fast technique based on the AdaBoost algorithm is used to detect the ear of the user from profile images. An efficient stereo matching algorithm is used to match the user’s ear data (probe) to the previously enrolled (stored) ear data in a gallery database for verification and recognition. Correspondences are established between extracted features of the probe and gallery image sequences. The performance of the recognition approach is evaluated on different standard ear datasets and compared with other techniques. Experimental results suggest the superiority of the proposed approach over other popular techniques reported in this work.

KW - Biometric authentication

KW - Access control

KW - Ear recognition

UR - http://securecomm.eai-conferences.org/accepted-papers/#

UR - https://web.archive.org/web/20170920202108/http://securecomm.org:80/atcs-2017/

UR - http://securecomm.org/wp-content/uploads/sites/14/2017/08/ATCS-2017-Program-.pdf

U2 - 10.1007/978-3-319-78816-6_11

DO - 10.1007/978-3-319-78816-6_11

M3 - Conference paper

SN - 9783319788159

T3 - Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

SP - 133

EP - 144

BT - Security and privacy in communication networks

A2 - Lin, Xiaodong

A2 - Ghorbani, Ali

A2 - Ren, Kui

A2 - Zhu, Sencun

A2 - Zhang, Aiqing

PB - Springer

CY - Cham

T2 - 13th International Conference on Security and Privacy in Communication Networks

Y2 - 22 October 2017 through 25 October 2017

ER -

Chowdhury MMH, Islam MDR, Gao J. Fast and robust biometric authentication scheme using human ear. In Lin X, Ghorbani A, Ren K, Zhu S, Zhang A, editors, Security and privacy in communication networks: SecureComm 2017 International Workshops, ATCS and SePrIoT, Niagara Falls, ON, Canada, October 22–25, 2017, Proceedings. Cham: Springer. 2018. p. 133-144. (Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering). doi: 10.1007/978-3-319-78816-6_11

Fast and robust biometric authentication scheme using human ear

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