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Shaped Wavelets for Curvilinear Structures for Ear Biometrics

Shaped Wavelets for Curvilinear Structures for Ear Biometrics
Shaped Wavelets for Curvilinear Structures for Ear Biometrics
One of the most recent trends in biometrics is recognition by ear ap-pearance in head profile images. Determining the region of interest which con-tains the ear is an important step in an ear biometric system. To this end, we propose a robust, simple and effective method for ear detection from profile im-ages by employing a bank of curved and stretched Gabor wavelets, known as banana wavelets. A 100% detection rate is achieved here on a group of 252 pro-file images from XM2VTS database. The banana wavelets technique demon-strates better performances than Gabor wavelets technique. This indicates that the curved wavelets are advantageous here. Also the banana wavelet technique is applied to a new and more challenging database which highlights practical considerations of a more realistic deployment. This ear detection technique is fully automated, has encouraging performance and appears to be robust to de-gradation by noise.
Ibrahim, Mina Ibrahim
15dbd9a6-1960-4d53-abd3-58953b31ac97
Nixon, Mark
2b5b9804-5a81-462a-82e6-92ee5fa74e12
Mahmoodi, Sasan
91ca8da4-95dc-4c1e-ac0e-f2c08d6ac7cf
Ibrahim, Mina Ibrahim
15dbd9a6-1960-4d53-abd3-58953b31ac97
Nixon, Mark
2b5b9804-5a81-462a-82e6-92ee5fa74e12
Mahmoodi, Sasan
91ca8da4-95dc-4c1e-ac0e-f2c08d6ac7cf

Ibrahim, Mina Ibrahim, Nixon, Mark and Mahmoodi, Sasan (2010) Shaped Wavelets for Curvilinear Structures for Ear Biometrics. Lecture Notes in Computer Science- 6th International Symposium on Visual Computing, United States.

Record type: Conference or Workshop Item (Other)

Abstract

One of the most recent trends in biometrics is recognition by ear ap-pearance in head profile images. Determining the region of interest which con-tains the ear is an important step in an ear biometric system. To this end, we propose a robust, simple and effective method for ear detection from profile im-ages by employing a bank of curved and stretched Gabor wavelets, known as banana wavelets. A 100% detection rate is achieved here on a group of 252 pro-file images from XM2VTS database. The banana wavelets technique demon-strates better performances than Gabor wavelets technique. This indicates that the curved wavelets are advantageous here. Also the banana wavelet technique is applied to a new and more challenging database which highlights practical considerations of a more realistic deployment. This ear detection technique is fully automated, has encouraging performance and appears to be robust to de-gradation by noise.

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EarBiometric_isvc_2010.pdf - Accepted Manuscript
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More information

Published date: November 2010
Additional Information: Event Dates: November 2010
Venue - Dates: Lecture Notes in Computer Science- 6th International Symposium on Visual Computing, United States, 2010-11-01
Organisations: Southampton Wireless Group

Identifiers

Local EPrints ID: 271519
URI: http://eprints.soton.ac.uk/id/eprint/271519
PURE UUID: 2c59ba00-409b-4cbd-ba00-01aeadc73d7d
ORCID for Mark Nixon: ORCID iD orcid.org/0000-0002-9174-5934

Catalogue record

Date deposited: 07 Sep 2010 13:27
Last modified: 17 Dec 2019 02:04

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