Palm-print recognition for authentication on smartphones

Hossein Javidnia, Adrian Ungureanu, Peter Corcoran

Research output: Chapter in Book or Conference Publication/ProceedingConference Publicationpeer-review

4 Citations (Scopus)

Abstract

In a world where smart phones are becoming ubiquitous and are more powerful than ever, security is becoming an issue. Equipped with good cameras, smart phones are prime candidates for software designed to recognize objects and people around them. By recognizing biometric patterns such as the face, palm-prints or hand knuckles, smart phones can heighten security standards. Depending on the intended action, specific security requirements should be met. For instance, bank services need a reliable authentication system, whereas unlocking a device can use a lower security feature. For this perspective we are working on a database of palm-prints that have only been acquired using smart phones to verify their users' identity and also designing an authentication system based on these results to be used on smartphones.

Original languageEnglish
Title of host publication2015 IEEE International Symposium on Technology and Society, ISTAS 2015
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781479982837
DOIs
Publication statusPublished - 22 Mar 2016
EventIEEE International Symposium on Technology and Society, ISTAS 2015 - Dublin, Ireland
Duration: 11 Nov 201512 Nov 2015

Publication series

NameInternational Symposium on Technology and Society, Proceedings
Volume2016-March

Conference

ConferenceIEEE International Symposium on Technology and Society, ISTAS 2015
Country/TerritoryIreland
CityDublin
Period11/11/1512/11/15

Keywords

  • Authentication
  • Color thresholding
  • Palm-print
  • Skin segmentation
  • Smartphone

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