A Cancelable Template for the Low-Quality Fingerprints from Wearable Devices

Sanghoon Lee; Ik Rae Jeong; Alvaro Araujo

doi:10.1155/2019/4202671

A Cancelable Template for the Low-Quality Fingerprints from Wearable Devices

Sanghoon Lee, Ik Rae Jeong, Alvaro Araujo

Graduate School of Information Study

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

1 Citation (Scopus)

Abstract

Biometric authentication in wearable devices is different from the common biometric authentication systems. First of all, sensitive information such as fingerprint and iris of a user is stored in a wearable device owned by the user rather than being stored in a remote database. Wearable devices are portable, and there is a risk that the devices might be lost or stolen. In addition, the quality of the extracted image from the wearable devices is lower than that of the common biometric acquisition sensor. In the paper, we propose a novel cancelable fingerprint template which is irreversible to the original biometrics and has excellent accuracy even in low quality images.

Original language	English
Article number	4202671
Journal	Security and Communication Networks
Volume	2019
DOIs	https://doi.org/10.1155/2019/4202671
Publication status	Published - 2019

ASJC Scopus subject areas

Information Systems
Computer Networks and Communications

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title = "A Cancelable Template for the Low-Quality Fingerprints from Wearable Devices",

abstract = "Biometric authentication in wearable devices is different from the common biometric authentication systems. First of all, sensitive information such as fingerprint and iris of a user is stored in a wearable device owned by the user rather than being stored in a remote database. Wearable devices are portable, and there is a risk that the devices might be lost or stolen. In addition, the quality of the extracted image from the wearable devices is lower than that of the common biometric acquisition sensor. In the paper, we propose a novel cancelable fingerprint template which is irreversible to the original biometrics and has excellent accuracy even in low quality images.",

author = "Sanghoon Lee and Jeong, {Ik Rae} and Alvaro Araujo",

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AB - Biometric authentication in wearable devices is different from the common biometric authentication systems. First of all, sensitive information such as fingerprint and iris of a user is stored in a wearable device owned by the user rather than being stored in a remote database. Wearable devices are portable, and there is a risk that the devices might be lost or stolen. In addition, the quality of the extracted image from the wearable devices is lower than that of the common biometric acquisition sensor. In the paper, we propose a novel cancelable fingerprint template which is irreversible to the original biometrics and has excellent accuracy even in low quality images.

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A Cancelable Template for the Low-Quality Fingerprints from Wearable Devices

Abstract

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