Cancellable Biometrics for Finger Vein Recognition—Application in the Feature Domain

Kirchgasser, Simon; Kauba, Christof; Uhl, Andreas

doi:10.1007/978-3-030-27731-4_16

Cited by 5 publications

(3 citation statements)

References 26 publications

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“…The process is reversible and the security of data is damaged. Kirchgasser et al [22] proposed using block re-mapping and warping methods to protect finger vein features. Both methods have their shortcomings.…”

Section: Finger Vein Protection Methods Since Attentionmentioning

confidence: 99%

Template Protection Based on Chaotic Map for Finger Vein Recognition

Shao

Ren

Sun

et al. 2021

IEEJ Transactions Elec Engng

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While the widespread application of biometric identification technology has provided convenient services, the security, and privacy of personal data have also attracted increasing attention. Because biometric traits are unique, once an attack occurs, the information stored in the system will be permanently leaked. Thus, ensuring the security of biometric templates is a major challenge. In order to solve this problem, we propose a finger vein template protection method based on chaotic map. First, we randomize and scramble the finger vein features after feature extraction, disturbing the location distribution of the pixels. Second, on the basis of the chaotic features of the finger veins, binary quantization is applied to further ensure the safety of the template. Finally, the compact and safe finger vein template is directly stored in the database. Finger vein matching is realized in the encryption domain, which changes the way that the traditional finger vein recognition system directly stores biometric templates. We conducted a series of detailed experiments on the public dataset. The experimental results show that our method can ensure the safety of finger vein templates while maintaining stable recognition performance. Moreover, the method has universality for different feature-extraction methods and meets the requirements of good biometric template protection.

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Section: Finger Vein Protection Methods Since Attentionmentioning

confidence: 99%

Template Protection Based on Chaotic Map for Finger Vein Recognition

Shao

Ren

Sun

et al. 2021

IEEJ Transactions Elec Engng

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“…On the other hand, template protection by applying block remapping and block warping to vein patterns in the image domain was designed by Kirchgasser et al [25]. First, the finger vein feature is extracted from the finger vein image using a feature extractor.…”

Section: Related Workmentioning

confidence: 99%

Finger Vein Template Protection with Directional Bloom Filter

Teng,

Ong,

S. M. A.

et al. 2023

HighTech. Innov. J.

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Biometrics has become a widely accepted solution for secure user authentication. However, the use of biometric traits raises serious concerns about the protection of personal data and privacy. Traditional biometric systems are vulnerable to attacks due to the storage of original biometric data in the system. Because biometric data cannot be changed once it has been compromised, the use of a biometric system is limited by the security of its template. To protect biometric templates, this paper proposes the use of directional bloom filters as a cancellable biometric approach to transform the biometric data into a non-invertible template for user authentication purposes. Recently, Bloom filter has been used for template protection due to its efficiency with small template size, alignment invariance, and irreversibility. Directional Bloom Filter improves on the original bloom filter. It generates hash vectors with directional subblocks rather than only a single-column subblock in the original bloom filter. Besides, we make use of multiple fingers to generate a biometric template, which is termed multi-instance biometrics. It helps to improve the performance of the method by providing more information through the use of multiple fingers. The proposed method is tested on three public datasets and achieves an equal error rate (EER) as low as 5.28% in the stolen or constant key scenario. Analysis shows that the proposed method meets the four properties of biometric template protection. Doi: 10.28991/HIJ-2023-04-02-013 Full Text: PDF

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“…This drawback of the salting approaches can be solved by using non-invertible transformations as they are based on the application of one-way functions which cannot be reversed. In this handbook, two chapters are devoted to template protection schemes for finger vein recognition [121,129] and both fall into the CB category.…”

Section: Template Protectionmentioning

confidence: 99%

State of the Art in Vascular Biometrics

Uhl

2019

Advances in Computer Vision and Pattern Recognition

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The investigation of vascular biometric traits has become increasingly popular during the last years. This book chapter provides a comprehensive discussion of the respective state of the art, covering hand-oriented techniques (finger vein, palm vein, (dorsal) hand vein and wrist vein recognition) as well as eye-oriented techniques (retina and sclera recognition). We discuss commercial sensors and systems, major algorithmic approaches in the recognition toolchain, available datasets, public competitions and open-source software, template protection schemes, presentation attack(s) (detection), sample quality assessment, mobile acquisition and acquisition on the move, and finally eventual disease impact on recognition and template privacy issues.

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Cancellable Biometrics for Finger Vein Recognition—Application in the Feature Domain

Cited by 5 publications

References 26 publications

Template Protection Based on Chaotic Map for Finger Vein Recognition

Template Protection Based on Chaotic Map for Finger Vein Recognition

Finger Vein Template Protection with Directional Bloom Filter

State of the Art in Vascular Biometrics

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