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

Sanghoon Lee, ik rae Jeong, Alvaro Araujo

Research output: Contribution to journalArticle

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 languageEnglish
Article number4202671
JournalSecurity and Communication Networks
Volume2019
DOIs
Publication statusPublished - 2019 Jan 1

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ASJC Scopus subject areas

  • Information Systems
  • Computer Networks and Communications

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