Securing Fingerprint Template: Fuzzy Vault with Helper Data

Uludağ, Umut; Jain, Anil K.

doi:10.1109/cvprw.2006.185

Cited by 175 publications

(142 citation statements)

References 17 publications

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“…More recently, Uludag and Jain [14] presented an advancement of the earlier algorithm with a genuine accept rate of ∼ 72%. However, the alignment is highly prone to error, and does not work on poor quality or partial images.…”

Section: Previous Workmentioning

confidence: 99%

Symmetric hash functions for secure fingerprint biometric systems

Tulyakov

Farooq

Mansukhani

et al. 2007

Pattern Recognition Letters

102

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Securing biometrics databases from being compromised is one of the most important challenges that must be overcome in order to demonstrate the viability of biometrics based authentication. In this paper we present a novel method of hashing fingerprint minutia and performing fingerprint identification in the hash space. Our approach uses a family of symmetric hash functions and does not depend on the location of the (usually unstable) singular points (core and delta). In fact, most approaches of hashing minutia and developing a cancellable system described in the literature assume the location of the singular points. Others assume a pre-alignment between the test and the stored fingerprint templates. These assumptions are unrealistic given that fingerprints are very often only partially captured by the commercially available sensors. The Equal Error Rate (EER) achieved by our system is about 3%. We also present the performance analysis of a hybrid system that has an EER of about 2% which is very close to the performance of plain matching in the minutia space.

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Section: Previous Workmentioning

confidence: 99%

Symmetric hash functions for secure fingerprint biometric systems

Tulyakov

Farooq

Mansukhani

et al. 2007

Pattern Recognition Letters

102

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show abstract

“…The information of the templates should be hidden to keep individual biological information secret. Many methods have been recently proposed, for example, the biometric cryptosystems [2]- [5], cancellable fingerprint templates [6]- [10], and so on. However, in these methods, since the minutia-based templates are basically used, the recognition accuracy tends to become low in comparison with that of the image-based templates.…”

Section: % As For the Robustness Of The Proposed Templates It Has Bmentioning

confidence: 99%

Recognition Accuracy and Robustness of Fingerprint Templates Generated by Discrete Fractional Sine Transform

Yoshimura¹

2013

IJISR

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The fingerprint template which corresponds to the phase distributions (PDs) Individual recognition using the biological information has been recently increasing everywhere, for example, in the automatic logging into a PC, the immigration at the airport, and so on. In particular, the fingerprint recognition system has been widely used because of its high reliability and reasonable price [1].In general, the enrolled fingerprint images are stored as templates in the database referred in the fingerprint recognition process. , and so on. However, in these methods, since the minutia-based templates are basically used, the recognition accuracy tends to become low in comparison with that of the image-based templates.In order to realize the fingerprint templates with high recognition accuracy and high robustness against attacks, we have proposed a new method for generating templates by use of the intensity distributions of the 1D fractional Fourier transforms (FRTs) [11] of original fingerprint images [12,13]. In our method, the FRTs with different transforms' orders are applied to the 1D data extracted from the 2D original fingerprint image in a specific direction. However, there might be a possibility that the FRT's order in each line of the fingerprint image is revealed, because the extent of the intensity FRT is dependent on the FRT's order.In this paper, to solve this problem, we propose the fingerprint templates generated by the DFSTs, and indicate the accuracy of the fingerprint recognition by use of the proposed templates. Specifically, first, we compare the amplitude distribution (AD) and PD of the discrete FRTs (DFRTs), the discrete fractional cosine transforms (DFCTs) [14] and the DFSTs [14] of the fingerprint image, and decide the most appropriate distribution and transform used in the generation process of the proposed fingerprint templates. Next, we evaluate the recognition accuracy of the generated fingerprint templates from the viewpoints of the ROC curve, which denotes the relationship between the false acceptance rate (FAR) and the false rejection rate (FRR), and the MER, where the FAR and the FRR take the same value [15]. In the analysis, the effects of the misalignment in the recognition process are not considered. Finally, we quantitatively analyze the robustness of the templates.

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“…There is a tradeoff between the number of chaff points, the protection capability and the key recovery rate. For more detail about the fuzzy vault and its implementation we would refer the reader to the many published papers [46,[76][77][78][79][80][81][82][83][84][85][86].…”

Section: Key Bindingmentioning

confidence: 99%

“…In the verification phase, the key can be released by combining the protected template with a newly captured probe biometric sample. Examples of known key binding and release implementations are the Code-Offset Construction [40,64,65], Fuzzy Commitment Scheme (FCS) [36,[66][67][68][69][70][71], the Helper Data System (HDS) [33][34][35]72,73], Quantization Index Modulation (QIM) [48,74,75], and the Fuzzy Vault [46,[76][77][78][79][80][81][82][83][84][85][86]. The first three schemes are related to each other as portrayed in Figure 2.6.…”

Section: Key Bindingmentioning

confidence: 99%

On the Performance of Helper Data Template Protection Schemes

Kelkboom

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Securing Fingerprint Template: Fuzzy Vault with Helper Data

Abstract: An important issue gaining attention in biometrics com

Cited by 175 publications

References 17 publications

Symmetric hash functions for secure fingerprint biometric systems

Symmetric hash functions for secure fingerprint biometric systems

Recognition Accuracy and Robustness of Fingerprint Templates Generated by Discrete Fractional Sine Transform

On the Performance of Helper Data Template Protection Schemes

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