A face image hashing method based on optimal linear transform under colored Gaussian noise assumption

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Karabat, Çağatay and Erdoğan, Hakan and Mıhçak, Mehmet Kıvanç (2011) A face image hashing method based on optimal linear transform under colored Gaussian noise assumption. In: 17th International Conference on Digital Signal Processing (DSP 2011), Corfu, Greece

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Official URL: http://dx.doi.org/10.1109/ICDSP.2011.6004932


In this paper, we propose a novel face image hashing method based on an optimal linear transformation. In the proposed method, first, we apply a feature extraction method. Then, we define an optimal linear transformation matrix based on within-class covariance matrix which is the maximum likelihood estimate of the variations of the biometric data belonging to the same user. Next, we reduce the dimension of the feature vector by using this transform. Finally, we apply quantization and obtain a face image hash vector. We test the performance of the proposed method with AT&T and M2VTS face databases and compare the results with the random projection based biometric hashing methods. We perform the simulations by taking into account two scenarios: 1) Secret key is not known by attacker, 2) Attacker illegally acquires the secret key. The simulation results show the proposed method has better performance especially when the secret key has been compromised.

Item Type:Papers in Conference Proceedings
Uncontrolled Keywords:biometric hashing , privacy , security
Subjects:T Technology > TK Electrical engineering. Electronics Nuclear engineering
ID Code:18523
Deposited By:Hakan Erdoğan
Deposited On:25 Dec 2011 12:20
Last Modified:31 Jul 2019 09:44

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