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Background Modeling Using Temporal-Local Sample Density Outlier Detection Read chapter Read first chapter

2017 | OriginalPaper | Chapter

Cancelable Biometric Template Security Using Segment-Based Visual Cryptography

Authors : P. Punithavathi, S. Geetha

Published in: Proceedings of International Conference on Computer Vision and Image Processing

Publisher: Springer Singapore

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Abstract

The cancelable biometric system is susceptible to a variety of attacks aimed at deteriorating the integrity of the authentication procedure. These attacks are intended to either ruin the security afforded by the system or deter the normal functioning of the authentication system. This paper describes various threats that can be encountered by a cancelable biometric system. It specifically focuses on preventing the attacks designed to extract information about the transformed biometric data of an individual, from the template database. Furthermore, we provide experimental results pertaining to a system combining the cancelable biometrics with segment-based visual cryptography, which converts traditional biocode into novel structures called shares.

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previous chapter A Novel Visualization and Tracking Framework for Analyzing the Inter/Intra Cloud Pattern Formation to Study Their Impact on Climate
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Metadata
Title
Cancelable Biometric Template Security Using Segment-Based Visual Cryptography
Authors
P. Punithavathi
S. Geetha
Copyright Year
2017
Publisher
Springer Singapore
Book
Proceedings of International Conference on Computer Vision and Image Processing

Print ISBN: 978-981-10-2103-9

Electronic ISBN: 978-981-10-2104-6

Copyright Year: 2017

DOI
https://doi.org/10.1007/978-981-10-2104-6_46