Multi-resolution analysis for ear recognition using wavelet features

Security is very important and in order to avoid any physical contact, identification of human when they are moving is necessary. Ear biometric is one of the methods by which a person can be identified using surveillance cameras. Various techniques have been proposed to increase the ear based recogn...

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Main Authors: Shoaib, M., Basit, A., Faye, I.
Format: Conference or Workshop Item
Institution: Universiti Teknologi Petronas
Record Id / ISBN-0: utp-eprints.30603 /
Published: American Institute of Physics Inc. 2016
Online Access: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85006043643&doi=10.1063%2f1.4968150&partnerID=40&md5=d90d59d8aee03ee0938ef55ccea69ed3
http://eprints.utp.edu.my/30603/
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id utp-eprints.30603
recordtype eprints
spelling utp-eprints.306032022-03-25T07:12:24Z Multi-resolution analysis for ear recognition using wavelet features Shoaib, M. Basit, A. Faye, I. Security is very important and in order to avoid any physical contact, identification of human when they are moving is necessary. Ear biometric is one of the methods by which a person can be identified using surveillance cameras. Various techniques have been proposed to increase the ear based recognition systems. In this work, a feature extraction method for human ear recognition based on wavelet transforms is proposed. The proposed features are approximation coefficients and specific details of level two after applying various types of wavelet transforms. Different wavelet transforms are applied to find the suitable wavelet. Minimum Euclidean distance is used as a matching criterion. Results achieved by the proposed method are promising and can be used in real time ear recognition system. © 2016 Author(s). American Institute of Physics Inc. 2016 Conference or Workshop Item NonPeerReviewed https://www.scopus.com/inward/record.uri?eid=2-s2.0-85006043643&doi=10.1063%2f1.4968150&partnerID=40&md5=d90d59d8aee03ee0938ef55ccea69ed3 Shoaib, M. and Basit, A. and Faye, I. (2016) Multi-resolution analysis for ear recognition using wavelet features. In: UNSPECIFIED. http://eprints.utp.edu.my/30603/
institution Universiti Teknologi Petronas
collection UTP Institutional Repository
description Security is very important and in order to avoid any physical contact, identification of human when they are moving is necessary. Ear biometric is one of the methods by which a person can be identified using surveillance cameras. Various techniques have been proposed to increase the ear based recognition systems. In this work, a feature extraction method for human ear recognition based on wavelet transforms is proposed. The proposed features are approximation coefficients and specific details of level two after applying various types of wavelet transforms. Different wavelet transforms are applied to find the suitable wavelet. Minimum Euclidean distance is used as a matching criterion. Results achieved by the proposed method are promising and can be used in real time ear recognition system. © 2016 Author(s).
format Conference or Workshop Item
author Shoaib, M.
Basit, A.
Faye, I.
spellingShingle Shoaib, M.
Basit, A.
Faye, I.
Multi-resolution analysis for ear recognition using wavelet features
author_sort Shoaib, M.
title Multi-resolution analysis for ear recognition using wavelet features
title_short Multi-resolution analysis for ear recognition using wavelet features
title_full Multi-resolution analysis for ear recognition using wavelet features
title_fullStr Multi-resolution analysis for ear recognition using wavelet features
title_full_unstemmed Multi-resolution analysis for ear recognition using wavelet features
title_sort multi-resolution analysis for ear recognition using wavelet features
publisher American Institute of Physics Inc.
publishDate 2016
url https://www.scopus.com/inward/record.uri?eid=2-s2.0-85006043643&doi=10.1063%2f1.4968150&partnerID=40&md5=d90d59d8aee03ee0938ef55ccea69ed3
http://eprints.utp.edu.my/30603/
_version_ 1741197434899398656
score 11.62408

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