3D palmprint pose estimation using stereo camera

Bingöl, Özkan; Ekinci, Murat

doi:10.1109/siu.2013.6531388

Cited by 2 publications

(1 citation statement)

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“…In the proposed method rather than estimating detailed 3D point cloud of the palm, finding numerous landmark which will be helpful to detect 3D positions and orientations is sufficient. Bingöl and Ekinci [15] determined interest points of hand plane and orientation on the hand have been identified and, these methods have been strengthened. In orientation specified 3D palm, geometric transformation (GT) is made and then transferred to 2D plane.…”

Section: Introductionmentioning

confidence: 99%

A new approach stereo based palmprint extraction in unrestricted postures

Bingöl

Ekinci

Gökdoğan

2014

2014 IEEE Workshop on Biometric Measurements and Systems for Security and Medical Applications (BIOMS) Proceedings

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Regarding the palms recognition system studies, despite achieving a high success rate, hygiene problems in systems with contact and problems arising from changes in the alignment of the hand pose in non-contact ones have been encountered. To resolve these problems, 3D palmprint recognition systems have been developed, however these systems have not had the opportunity to spread due to expensive technologies used as well as low screening rates. In this study, to calculate the position and orientation of a palm in 3D space, a stereo camera system is proposed, with the help of these values by adjusting the geometric image of the palm is converted to a 2D environment. From these images, patterns used for recognition are extracted by using Active Appearance Models. Thus a noncontact system has been achieved, but also patterns that can be used by powerful 2D recognition systems have also been produced.

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Section: Introductionmentioning

confidence: 99%