An automated ear identification system using Gabor filter responses

Abdallah Meraoumia; Salim Chitroub; Ahmed Bouridane

doi:10.1109/NEWCAS.2015.7182085

An automated ear identification system using Gabor filter responses

Abdallah Meraoumia, Salim Chitroub, Ahmed Bouridane

Computer and Information Sciences

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

26 Citations (Scopus)

Abstract

About some years ago, several biometric technologies are considered mature enough to be a new tool for security and ear-based person identification is one of these technologies. This technology provides a reliable, low cost and user-friendly viable solution for a range of access control applications. In this paper, we propose an efficient online personal identification system based on ear images. In this purpose, the identification algorithm aims to extract, for each ear, a specific set of features. Based on Gabor filter response, three ear features have been used in order to extract different and complementary information: phase, module and a combination of the real and imaginary parts. Using these features, several combinations are tested in the fusion phase in order to achieve an optimal multi-representation system which leads to a better identification accuracy. The obtained experimental results show that the system yields the best performance for identifying a person and it is able to provide the highest degree of biometrics-based system security.

Original language	English
Title of host publication	Proceedings of the 2015 IEEE 13th International New Circuits and Systems Conference (NEWCAS)
Place of Publication	Piscataway, NJ
Publisher	IEEE
Pages	1-4
ISBN (Print)	9781479988938
DOIs	https://doi.org/10.1109/NEWCAS.2015.7182085
Publication status	E-pub ahead of print - 10 Aug 2015
Event	2015 IEEE 13th International New Circuits and Systems Conference (NEWCAS) - Grenoble Duration: 10 Aug 2015 → …

Conference

Conference	2015 IEEE 13th International New Circuits and Systems Conference (NEWCAS)
Period	10/08/15 → …

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10.1109/NEWCAS.2015.7182085

Cite this

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title = "An automated ear identification system using Gabor filter responses",

abstract = "About some years ago, several biometric technologies are considered mature enough to be a new tool for security and ear-based person identification is one of these technologies. This technology provides a reliable, low cost and user-friendly viable solution for a range of access control applications. In this paper, we propose an efficient online personal identification system based on ear images. In this purpose, the identification algorithm aims to extract, for each ear, a specific set of features. Based on Gabor filter response, three ear features have been used in order to extract different and complementary information: phase, module and a combination of the real and imaginary parts. Using these features, several combinations are tested in the fusion phase in order to achieve an optimal multi-representation system which leads to a better identification accuracy. The obtained experimental results show that the system yields the best performance for identifying a person and it is able to provide the highest degree of biometrics-based system security.",

keywords = "data fusion, biometrics, identification, ear, Gabor filter",

author = "Abdallah Meraoumia and Salim Chitroub and Ahmed Bouridane",

year = "2015",

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doi = "10.1109/NEWCAS.2015.7182085",

language = "English",

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booktitle = "Proceedings of the 2015 IEEE 13th International New Circuits and Systems Conference (NEWCAS)",

publisher = "IEEE",

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note = "2015 IEEE 13th International New Circuits and Systems Conference (NEWCAS) ; Conference date: 10-08-2015",

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Meraoumia, A, Chitroub, S & Bouridane, A 2015, An automated ear identification system using Gabor filter responses. in Proceedings of the 2015 IEEE 13th International New Circuits and Systems Conference (NEWCAS). IEEE, Piscataway, NJ, pp. 1-4, 2015 IEEE 13th International New Circuits and Systems Conference (NEWCAS), 10/08/15. https://doi.org/10.1109/NEWCAS.2015.7182085

TY - CHAP

T1 - An automated ear identification system using Gabor filter responses

AU - Meraoumia, Abdallah

AU - Chitroub, Salim

AU - Bouridane, Ahmed

PY - 2015/8/10

Y1 - 2015/8/10

N2 - About some years ago, several biometric technologies are considered mature enough to be a new tool for security and ear-based person identification is one of these technologies. This technology provides a reliable, low cost and user-friendly viable solution for a range of access control applications. In this paper, we propose an efficient online personal identification system based on ear images. In this purpose, the identification algorithm aims to extract, for each ear, a specific set of features. Based on Gabor filter response, three ear features have been used in order to extract different and complementary information: phase, module and a combination of the real and imaginary parts. Using these features, several combinations are tested in the fusion phase in order to achieve an optimal multi-representation system which leads to a better identification accuracy. The obtained experimental results show that the system yields the best performance for identifying a person and it is able to provide the highest degree of biometrics-based system security.

AB - About some years ago, several biometric technologies are considered mature enough to be a new tool for security and ear-based person identification is one of these technologies. This technology provides a reliable, low cost and user-friendly viable solution for a range of access control applications. In this paper, we propose an efficient online personal identification system based on ear images. In this purpose, the identification algorithm aims to extract, for each ear, a specific set of features. Based on Gabor filter response, three ear features have been used in order to extract different and complementary information: phase, module and a combination of the real and imaginary parts. Using these features, several combinations are tested in the fusion phase in order to achieve an optimal multi-representation system which leads to a better identification accuracy. The obtained experimental results show that the system yields the best performance for identifying a person and it is able to provide the highest degree of biometrics-based system security.

KW - data fusion

KW - biometrics

KW - identification

KW - ear

KW - Gabor filter

U2 - 10.1109/NEWCAS.2015.7182085

DO - 10.1109/NEWCAS.2015.7182085

M3 - Chapter

SN - 9781479988938

SP - 1

EP - 4

BT - Proceedings of the 2015 IEEE 13th International New Circuits and Systems Conference (NEWCAS)

PB - IEEE

CY - Piscataway, NJ

T2 - 2015 IEEE 13th International New Circuits and Systems Conference (NEWCAS)

Y2 - 10 August 2015

ER -

An automated ear identification system using Gabor filter responses

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