Cited By
View all- Torre DChennamaneni ARodriguez A(2023)Privacy-Preservation Techniques for IoT Devices: A Systematic Mapping StudyIEEE Access10.1109/ACCESS.2023.324552411(16323-16345)Online publication date: 2023
A Privacy-preserving Cancelable Palmprint Template Generation Scheme Using Noise Data
Authors: 
Jian Qiu, Hengjian Li, Jiwen Dong, Guang FengAuthors Info & Claims
Article No.: 29, Pages 1 - 5
Abstract
In order to achieve more secure and privacy-preserving, a new method of cancelable palmprint template generation scheme using noise data is proposed. Firstly, the random projection is used to reduce the dimension of the palmprint image and the reduced dimension image is normalized. Secondly, a chaotic matrix is produced and it is also normalized. Then the cancelable palmprint feature is generated by comparing the normalized chaotic matrix with reduced dimension image after normalization. Finally, in order to enhance the privacy protection, and then the noise data with independent and identically distributed is added, as the final palmprint features. In this article, the algorithm of adding noise data is analyzed theoretically. Experimental results on the Hong Kong PolyU Palmprint Database verify that random projection and noise are generated in an uncomplicated way, the computational complexity is low. The theoretical analysis of nosie data is consistent with the experimental results. According to the system requirement, on the basis of guaranteeing accuracy, adding a certain amount of noise will contribute to security and privacy protection.
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Index Terms
- A Privacy-preserving Cancelable Palmprint Template Generation Scheme Using Noise Data
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Published In
July 2017
211 pages
ISBN:9781450352871
DOI:10.1145/3144789
Copyright © 2017 ACM.
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In-Cooperation
- Wanfang Data: Wanfang Data, Beijing, China
- International Engineering and Technology Institute, Hong Kong: International Engineering and Technology Institute, Hong Kong
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Association for Computing Machinery
New York, NY, United States
Publication History
Published: 17 July 2017
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IIP'17
IIP'17: 2017 2nd International Conference on Intelligent Information Processing
July 17 - 18, 2017
Bangkok, Thailand
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ICIIP '17 Paper Acceptance Rate 32 of 202 submissions, 16%;
Overall Acceptance Rate 87 of 367 submissions, 24%
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View all- Torre DChennamaneni ARodriguez A(2023)Privacy-Preservation Techniques for IoT Devices: A Systematic Mapping StudyIEEE Access10.1109/ACCESS.2023.324552411(16323-16345)Online publication date: 2023
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