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
November 2010
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, Las Vegas, United States.
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Conference or Workshop Item
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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.
Text
EarBiometric_isvc_2010.pdf
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Published date: November 2010
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Event Dates: November 2010
Venue - Dates:
Lecture Notes in Computer Science-6th International Symposium on Visual Computing, Las Vegas, United States, 2010-11-01
Organisations:
Southampton Wireless Group
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Local EPrints ID: 271519
URI: http://eprints.soton.ac.uk/id/eprint/271519
PURE UUID: 2c59ba00-409b-4cbd-ba00-01aeadc73d7d
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Date deposited: 07 Sep 2010 13:27
Last modified: 15 Mar 2024 02:35
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Contributors
Author:
Mina Ibrahim Ibrahim
Author:
Sasan Mahmoodi
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