Title :
3D palmprint pose estimation using stereo camera
Author :
Bingol, Ozkan ; Ekinci, Murat
Author_Institution :
Yazilim Muhendisligi Bolumu, Gumushane Univ., Gümushane, Turkey
Abstract :
Although studies on the palm recognition systems achieving are high performance ratios, hygiene problems in contact systems and change of hand pose in contactless systems were encountered. 3D recognition systems is proposed for solve these problems. But, these systems did not find the opportunity to become widespread because of expensive technologies and low scanning speed. In this study was proposed a method for determined pose variations of palmprint using stereo cameras and transferring patterns that to be used for recognition to 2D space. Thus, both a non-contact system will be obtained and can be used properties of strong 2D recognition systems.
Keywords :
image sensors; palmprint recognition; pose estimation; stereo image processing; 2D recognition systems; 2D space; 3D palmprint pose estimation; 3D recognition systems; contactless systems; high performance ratios; hygiene problems; noncontact system; palm recognition systems; palmprint pose variations; stereo camera; transferring patterns; Authentication; Cameras; Computer vision; Geometry; Pattern recognition; Robustness; Three-dimensional displays; 2 dimension; 3 dimension; Palmprint recognition systems; stereo camera;
Conference_Titel :
Signal Processing and Communications Applications Conference (SIU), 2013 21st
Conference_Location :
Haspolat
Print_ISBN :
978-1-4673-5562-9
Electronic_ISBN :
978-1-4673-5561-2
DOI :
10.1109/SIU.2013.6531388
