Title: Biometric Sensor Interoperability: A Case Study in 3D Face Recognition
Publisher: SCITEPRESS Science and Technology Publications lda
Publication Year: 2015
JRC N°: JRC92052
ISBN: 978-989-758-173-1
URI: http://www.scitepress.org/DigitalLibrary/Link.aspx?doi=10.5220/0005682501990204
DOI: 10.5220/0005682501990204
Type: Articles in periodicals and books
Abstract: Biometric systems typically suffer a significant loss of performance when the acquisition sensor is changed between enrolment and authentication. Such a problem, commonly known as sensor interoperability, poses a serious challenge to the accuracy of matching algorithms. The present work addresses for the first time the sensor interoperability issue in 3D face recognition systems, analysing the performance of two popular and well known techniques for 3D facial authentication. For this purpose, a new gender-balanced database comprising 3D data of 26 subjects has been acquired using two devices belonging to the new generation of low-cost 3D sensors. The results show the high sensor-dependency of the tested systems and the need to develop matching algorithms robust to the variation in the sensor resolution.
JRC Directorate:Space, Security and Migration

Files in This Item:
There are no files associated with this item.

Items in repository are protected by copyright, with all rights reserved, unless otherwise indicated.