Τίτλος:
Towards fast 3D ear recognition for real-life biometric applications
Γλώσσες Τεκμηρίου:
Αγγλικά
Περίληψη:
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.
Συγγραφείς:
Passalis, G.
Kakadiaris, I. A.
Theoharis, T.
Toderici, G.
and Papaioannou, T.
Εκδότης:
IEEE Comput. Soc
Τίτλος συνεδρίου:
2007 IEEE CONFERENCE ON ADVANCED VIDEO AND SIGNAL BASED SURVEILLANCE
DOI:
10.1109/AVSS.2007.4425283
