Analysis of correlation of 2DPalmHash Code and orientation range suitable for transposition

Lu Leng; Andrew Beng Jin Teoh; Ming Li; Muhammad Khurram Khan

doi:10.1016/j.neucom.2013.10.005

Analysis of correlation of 2DPalmHash Code and orientation range suitable for transposition

Lu Leng, Andrew Beng Jin Teoh, Ming Li, Muhammad Khurram Khan

Department of Electrical and Electronic Engineering

Research output: Contribution to journal › Article › peer-review

42 Citations (Scopus)

Abstract

Recently two-dimensional (2D) PalmHash Code, whose original features were extracted by 2D Gabor filter, was proposed as a cancelable palmprint coding scheme for secure palmprint verification. However, vertical correlation inherently found in 2DPalmHash Code is vulnerable to statistical analysis attack. It was empirically attested that the vertical correlation of 2DPalmHash Code was suppressed by transposing Gabor feature matrices that were tuned to vertical orientation. Unfortunately, the mechanism behind why it works remains open. In this paper, we first systematically analyze and reveal the horizontal and vertical correlations of 2DPalmHash Code. We then uncover the secret behind the transposition of Gabor feature matrices for vertical correlation suppression. Finally, the orientation range of Gabor feature matrices suitable for transposition is determined from the correlation analysis and verified by a series of experiments.

Original language	English
Pages (from-to)	377-387
Number of pages	11
Journal	Neurocomputing
Volume	131
DOIs	https://doi.org/10.1016/j.neucom.2013.10.005
Publication status	Published - 2014 May 5

Bibliographical note

Funding Information:
This work was partially supported by Basic Science Research Program through the National Research Foundation (NRF) of Korea funded by Ministry of Science, ICT and Future Planning ( 2013006574 ), National Natural Science Foundation of China (61305010, 61262019, 61202112, and 61303199), Research Group Project funded by Deanship of Scientific Research at King Saud University ( RGP-VPP-288 ), China Postdoctoral Science Foundation ( 2013M531554 ), and Doctoral Initiating Foundation of Nanchang Hangkong University ( EA201308058 ).

All Science Journal Classification (ASJC) codes

Computer Science Applications
Cognitive Neuroscience
Artificial Intelligence

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10.1016/j.neucom.2013.10.005

Cite this

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title = "Analysis of correlation of 2DPalmHash Code and orientation range suitable for transposition",

abstract = "Recently two-dimensional (2D) PalmHash Code, whose original features were extracted by 2D Gabor filter, was proposed as a cancelable palmprint coding scheme for secure palmprint verification. However, vertical correlation inherently found in 2DPalmHash Code is vulnerable to statistical analysis attack. It was empirically attested that the vertical correlation of 2DPalmHash Code was suppressed by transposing Gabor feature matrices that were tuned to vertical orientation. Unfortunately, the mechanism behind why it works remains open. In this paper, we first systematically analyze and reveal the horizontal and vertical correlations of 2DPalmHash Code. We then uncover the secret behind the transposition of Gabor feature matrices for vertical correlation suppression. Finally, the orientation range of Gabor feature matrices suitable for transposition is determined from the correlation analysis and verified by a series of experiments.",

author = "Lu Leng and {Jin Teoh}, {Andrew Beng} and Ming Li and Khan, {Muhammad Khurram}",

note = "Funding Information: This work was partially supported by Basic Science Research Program through the National Research Foundation (NRF) of Korea funded by Ministry of Science, ICT and Future Planning ( 2013006574 ), National Natural Science Foundation of China (61305010, 61262019, 61202112, and 61303199), Research Group Project funded by Deanship of Scientific Research at King Saud University ( RGP-VPP-288 ), China Postdoctoral Science Foundation ( 2013M531554 ), and Doctoral Initiating Foundation of Nanchang Hangkong University ( EA201308058 ). ",

year = "2014",

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doi = "10.1016/j.neucom.2013.10.005",

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AU - Leng, Lu

AU - Jin Teoh, Andrew Beng

AU - Li, Ming

AU - Khan, Muhammad Khurram

N1 - Funding Information: This work was partially supported by Basic Science Research Program through the National Research Foundation (NRF) of Korea funded by Ministry of Science, ICT and Future Planning ( 2013006574 ), National Natural Science Foundation of China (61305010, 61262019, 61202112, and 61303199), Research Group Project funded by Deanship of Scientific Research at King Saud University ( RGP-VPP-288 ), China Postdoctoral Science Foundation ( 2013M531554 ), and Doctoral Initiating Foundation of Nanchang Hangkong University ( EA201308058 ).

PY - 2014/5/5

Y1 - 2014/5/5

N2 - Recently two-dimensional (2D) PalmHash Code, whose original features were extracted by 2D Gabor filter, was proposed as a cancelable palmprint coding scheme for secure palmprint verification. However, vertical correlation inherently found in 2DPalmHash Code is vulnerable to statistical analysis attack. It was empirically attested that the vertical correlation of 2DPalmHash Code was suppressed by transposing Gabor feature matrices that were tuned to vertical orientation. Unfortunately, the mechanism behind why it works remains open. In this paper, we first systematically analyze and reveal the horizontal and vertical correlations of 2DPalmHash Code. We then uncover the secret behind the transposition of Gabor feature matrices for vertical correlation suppression. Finally, the orientation range of Gabor feature matrices suitable for transposition is determined from the correlation analysis and verified by a series of experiments.

AB - Recently two-dimensional (2D) PalmHash Code, whose original features were extracted by 2D Gabor filter, was proposed as a cancelable palmprint coding scheme for secure palmprint verification. However, vertical correlation inherently found in 2DPalmHash Code is vulnerable to statistical analysis attack. It was empirically attested that the vertical correlation of 2DPalmHash Code was suppressed by transposing Gabor feature matrices that were tuned to vertical orientation. Unfortunately, the mechanism behind why it works remains open. In this paper, we first systematically analyze and reveal the horizontal and vertical correlations of 2DPalmHash Code. We then uncover the secret behind the transposition of Gabor feature matrices for vertical correlation suppression. Finally, the orientation range of Gabor feature matrices suitable for transposition is determined from the correlation analysis and verified by a series of experiments.

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Analysis of correlation of 2DPalmHash Code and orientation range suitable for transposition

Abstract

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