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A Study on Biometric Authentication and Liveness Detection Using Finger Elastic Deformation

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Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1226))

Abstract

One of the most used biometric modalities is known as fingerprint, and has been widely used in daily life. However, it is not sufficiently recognized that there is a vulnerability of spoofing in the fingerprint authentication. There is a possibility of making a forged fingerprint by using residual fingerprint. In order to prevent the spoofing, it is required to add another information for authentication or use a completely different approach.

In the current research, we focused on the finger elastic deformation as another information for authentication. In order to get the information of the finger elastic deformation, continuous images of the fingerprint are captured while the finger is pressed onto the device. The device for capturing continuous images and measuring pressing force. For the verification of our proposed method, three forged fingers were made with different blending ratio which allow to login the fingerprint authentication of iPhone 7.

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References

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Correspondence to Yu Yoshitani .

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Yoshitani, Y., Nishiuchi, N. (2020). A Study on Biometric Authentication and Liveness Detection Using Finger Elastic Deformation. In: Stephanidis, C., Antona, M. (eds) HCI International 2020 - Posters. HCII 2020. Communications in Computer and Information Science, vol 1226. Springer, Cham. https://doi.org/10.1007/978-3-030-50732-9_81

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  • DOI: https://doi.org/10.1007/978-3-030-50732-9_81

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-50731-2

  • Online ISBN: 978-3-030-50732-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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