Towards fast 3D ear recognition for real-life biometric applications

G. Passalis, I. A. Kakadiaris, T. Theoharis, G. Toderici, T. Papaioannou

Research output: Chapter in Book/Report/Conference proceedingConference contribution

30 Scopus citations

Abstract

Three-dimensional data are increasingly being used for biometric purposes as they offer resilience to problems common in two-dimensional data. They have been successfully applied to face recognition and more recently to ear recognition. However, real-life biometric applications require algorithms that are both robust and efficient so that they scale well with the size of the databases. A novel ear recognition method is presented that uses a generic annotated ear model to register and fit each ear dataset. Then a compact biometric signature is extracted that retains 3D information. The proposed method is evaluated using the largest publicly available 3D ear database appended with our own database, resulting in a database containing data from multiple 3D sensor types. Using this database it is shown that the proposed method is not only robust, accurate and sensor invariant but also extremely efficient, thus making it suitable for real-life biometric applications.

Original languageEnglish (US)
Title of host publication2007 IEEE Conference on Advanced Video and Signal Based Surveillance, AVSS 2007 Proceedings
Pages39-44
Number of pages6
DOIs
StatePublished - 2007
Event2007 IEEE Conference on Advanced Video and Signal Based Surveillance, AVSS 2007 - London, United Kingdom
Duration: Sep 5 2007Sep 7 2007

Publication series

Name2007 IEEE Conference on Advanced Video and Signal Based Surveillance, AVSS 2007 Proceedings

Conference

Conference2007 IEEE Conference on Advanced Video and Signal Based Surveillance, AVSS 2007
Country/TerritoryUnited Kingdom
CityLondon
Period9/5/079/7/07

ASJC Scopus subject areas

  • Computer Science Applications
  • Signal Processing

Fingerprint

Dive into the research topics of 'Towards fast 3D ear recognition for real-life biometric applications'. Together they form a unique fingerprint.

Cite this