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Erschienen in:
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2020 | OriginalPaper | Buchkapitel

Ear Detection and Recognition Techniques: A Comparative Review

verfasst von : Pallavi Srivastava, Diwakar Agrawal, Atul Bansal

Erschienen in: Advances in Data and Information Sciences

Verlag: Springer Singapore

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Abstract

Among several types of biometric systems, ear recognition is a bustling research area. Due to the minimal cooperation of the user, this biometric trait proves to be a good application in security and surveillance. Over the period of last two decades, various contributions have been reported with robust techniques and approaches in ear biometrics. This paper provides an overview of various ear recognition and detection techniques using 2D ear images, among which some are automated and some are not. Also, a comparative review of the available databases for research purposes is provided. A comparative vision of ear detection and recognition is presented in this paper in chronological order.

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Metadaten
Titel
Ear Detection and Recognition Techniques: A Comparative Review
verfasst von
Pallavi Srivastava
Diwakar Agrawal
Atul Bansal
Copyright-Jahr
2020
Verlag
Springer Singapore
Buch
Advances in Data and Information Sciences

Print ISBN: 978-981-15-0693-2

Electronic ISBN: 978-981-15-0694-9

Copyright-Jahr: 2020

DOI
https://doi.org/10.1007/978-981-15-0694-9_50

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