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Relevant bibliographies by topics / Ear biometric / Dissertations / Theses

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Dissertations / Theses on the topic 'Ear biometric'

Author: Grafiati

Published: 3 June 2025

Last updated: 31 July 2025

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1

Saleh, Mohamed Ibrahim. "Using Ears for Human Identification." Thesis, Virginia Tech, 2007. http://hdl.handle.net/10919/33158.

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Biometrics includes the study of automatic methods for distinguishing human beings based on physical or behavioral traits. The problem of finding good biometric features and recognition methods has been researched extensively in recent years. Our research considers the use of ears as a biometric for human recognition. Researchers have not considered this biometric as much as others, which include fingerprints, irises, and faces. This thesis presents a novel approach to recognize individuals based on their outer ear images through spatial segmentation. This approach to recognizing is also good

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2

BARRA, SILVIO. "Design of a Multi-biometric Platform, based on physical traits and physiological measures: Face, Iris, Ear, ECG and EEG." Doctoral thesis, Università degli Studi di Cagliari, 2016. http://hdl.handle.net/11584/266893.

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Security and safety is one the main concerns both for governments and for private companies in the last years so raising growing interests and investments in the area of biometric recognition and video surveillance, especially after the sad happenings of September 2001. Outlays assessments of the U.S. government for the years 2001-2005 estimate that the homeland security spending climbed from $56.0 billions of dollars in 2001 to almost $100 billion of 2005. In this lapse of time, new pattern recognition techniques have been developed and, even more important, new biometric traits have b

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3

Hurley, David J. "Force field feature extraction for ear biometrics." Thesis, University of Southampton, 2001. https://eprints.soton.ac.uk/256792/.

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The overall objective in defining feature space is to reduce the dimensionality of the original pattern space, whilst maintaining discriminatory power for classification. To meet this objective in the context of ear biometrics a novel force field transformation is introduced in which the image is treated as an array of mutually attracting particles that act as the source of a Gaussian force field. In a similar way to Newton’s Law of Universal Gravitation pixels are imagined to attract each other according to the product of their intensities and inversely to the square of the distance between t

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4

Arbab-Zavar, Banafshe. "On guided model-based analysis for ear biometrics." Thesis, University of Southampton, 2009. https://eprints.soton.ac.uk/72062/.

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Ears are a new biometric with major advantage in that they appear to maintain their structure with increasing age. Current approaches have exploited 2D and 3D images of the ear in human identification. Contending that the ear is mainly a planar shape we use 2D images, which are consistent with deployment in surveillance and other planar-image scenarios. So far ear biometric approaches have mostly used general properties and overall appearance of ear images in recognition, while the structure of the ear has not been discussed. In this thesis, we propose a new model-based approach to ear biometr

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5

Ibrahim, Mina Ibrahim Samaan. "Wavelet based approaches for detection and recognition in ear biometrics." Thesis, University of Southampton, 2012. https://eprints.soton.ac.uk/340675/.

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One of the most recent trends in biometrics is recognition by ear appearance in head profile images. Ear localization to determine the region of interest containing ears 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 images by employing a bank of curved and stretched Gabor wavelets, known as banana wavelets. Our analysis shows that the banana wavelets demonstrate better performance than Gabor wavelets technique for ear localization. This indicates that the curved wavelets are advantageous for the det

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6

Cadavid, Steven. "Human Identification Based on Three-Dimensional Ear and Face Models." Scholarly Repository, 2011. http://scholarlyrepository.miami.edu/oa_dissertations/516.

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We propose three biometric systems for performing 1) Multi-modal Three-Dimensional (3D) ear + Two-Dimensional (2D) face recognition, 2) 3D face recognition, and 3) hybrid 3D ear recognition combining local and holistic features. For the 3D ear component of the multi-modal system, uncalibrated video sequences are utilized to recover the 3D ear structure of each subject within a database. For a given subject, a series of frames is extracted from a video sequence and the Region-of-Interest (ROI) in each frame is independently reconstructed in 3D using Shape from Shading (SFS). A ﬁdelity measure i

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7

Mursalin, Md. "Human identification using ear biometrics: A complete pipeline from detection to recognition." Thesis, Edith Cowan University, Research Online, Perth, Western Australia, 2023. https://ro.ecu.edu.au/theses/2622.

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Biometrics is a critical component of cybersecurity that identifies persons by verifying their behavioral and physical traits. It is the most precise and powerful physical security solution for identity verification presently in use. In biometric-based authentication, each individual can be correctly recognized based on their intrinsic behavioral or physical features. The human ear is an important biometric with highly discriminating features such that even identical twins have different ear shapes. Owing to the easy acquisition, invariance to expression, and stable structure over a long perio

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8

Kaloorazi, Maboud Farzaneh. "3D Ear Recognition Based on Force Field Transform." Thesis, Blekinge Tekniska Högskola, Sektionen för ingenjörsvetenskap, 2013. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-4891.

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Reducing the dimensionality of the original pattern space in a definition of feature space while maintaining discriminatory power for classification is a general goal in pattern recognition. To accomplish this goal in the area of ear biometrics a highly recognized work was proposed by D. Hurley in 2D space. We were inspired by his work and developed a new method for 3D data. In a different way to Hurley’s work we obtain a potential energy surface from 3D depth image which underlies the force field and associated vector field has its own characteristics. Our feature extraction is conducted by c

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9

Hansley, Earnest Eugene. "Identification of Individuals from Ears in Real World Conditions." Scholar Commons, 2018. http://scholarcommons.usf.edu/etd/7162.

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A number of researchers have shown that ear recognition is a viable alternative to more common biometrics such as fingerprint, face and iris because the ear is relatively stable over time, the ear is non-invasive to capture, the ear is expressionless, and both the ear’s geometry and shape have significant variation among individuals. Researchers have used different approaches to enhance ear recognition. Some researchers have improved upon existing algorithms, some have developed algorithms from scratch to assist with recognizing individuals by ears, and some researchers have taken algorithms t

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10

Canto, Moreira Nuno. "MRI Studies of the Fetal Brain and Cranium." Doctoral thesis, Uppsala universitet, Enheten för radiologi, 2012. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-164685.

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Ultrasound is the primary modality for fetal imaging, but Magnetic Resonance Imaging nowadays has a valuable complementary role as it often reveals findings that alter pregnancy management. Knowledge on some clinically relevant areas of the normal fetal development is still lacking, and this was the aim of this project. We wanted 1) to obtain reference MRI data of normal brain measurements before 24 gestation weeks (GW), 2) to study the development of the hippocampus, 3) to study the development of the ear and 4) to test the ability of MRI for evaluating the lip and palate. For this, we retros

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11

Middendorff, Christopher. "Multi-biometric approaches to ear biometrics and soft biometrics." 2009. http://etd.nd.edu/ETD-db/theses/available/etd-11062009-203812/.

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Thesis (Ph. D.)--University of Notre Dame, 2009.<br>Thesis directed by Kevin W. Bowyer for the Department of Computer Science and Engineering. "November 2009." Includes bibliographical references (leaves 153-157).

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12

Chowdhury, Debbrota Paul. "Development of Ear Biometric Systems with Forensic Validation." Thesis, 2021. http://ethesis.nitrkl.ac.in/10268/1/2021_PhD_DPChowdhury_516CS1003_Development.pdf.

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Generally, it is observed that face is the most feature dense region in human body. The natural way of identifying a human being is through looking at his or her face. But automated authentication of a user through face biometric bears some demerits like inconsistent variability due to facial expression, orientation of face, effect of aging, etc. These challenges can be overcome using ear biometric. Ear detection is easier due to its location on two sides of the head, making it orthogonal to frontal face. A person can willingly change the shape of his or her face through alteration in expressi

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13

Yan, Ping. "Ear biometrics in human identification." 2006. http://etd.nd.edu/ETD-db/theses/available/etd-07072006-101848/.

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Thesis (Ph. D.)--University of Notre Dame, 2006.<br>Thesis directed by Kevin W. Bowyer for the Department of Computer Science and Engineering. "July 2006." Includes bibliographical references (leaves 146-152).

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14

Lan, Guang-Der, and 藍光德. "Study of Ear Recognition in Biometrics." Thesis, 2004. http://ndltd.ncl.edu.tw/handle/11804849909308826885.

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碩士<br>義守大學<br>電子工程學系<br>92<br>Because the identification of a person has become a very important process in scientific field that can’t be ignored, how to find more effective and practical tools in identical technology and exactly to make the identity of a human being is the job to brook no delay. Biometrics characteristics identification technology has become a common method today, and ear recognition has been used over 100 years in human history, and it is also needed to develop more better identical systems. This thesis paper presents the analysis of Ear recognition in practice,

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15

Chen, Yung-Chih, and 陳勇志. "An EAP Method with Biometrics Privacy Preserving in IEEE802.11 Wireless LANs." Thesis, 2009. http://ndltd.ncl.edu.tw/handle/28992333391793756590.

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碩士<br>國立中山大學<br>資訊工程學系研究所<br>97<br>It is necessary to authenticate users when they want to access services in WLANs. Extensible Authentication Protocol (EAP) is an authentication framework widely used in WLANs. Authentication mechanisms built on EAP are called EAP methods. The requirements for EAP methods in WLAN authentication have been defined in RFC 4017. Besides, low computation cost and forward secrecy, excluded in RFC 4017, are noticeable requirements in WLAN authentication. However, all EAP methods and authentication schemes designed for WLANs so far do not satisfy all of the above requ

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