In contact less palm recognition, the captured images may have large image deformation depending on the hand pose. In order to extract the accurate palm region from the captured image for reliable palm image matching, such large image deformation must be normalized. To address the above problem, we propose a contact less palm recognition system using simple active 3D measurement with a diffraction grating laser. Using the grating pattern on a hand, which is radiated by the diffraction grating laser, the sparse 3D structure of hand surface can be measured by triangulation among a hand, a laser and a camera. According to the hand structure, the image deformation caused by the hand pose change can be normalized with low cost computation. Through a set of experiments, we demonstrate that the use of the proposed system makes it possible to recognize contact less palm images using the conventional palm recognition algorithms.
|出版ステータス||Published - 2013|
|イベント||2013 2nd IAPR Asian Conference on Pattern Recognition, ACPR 2013 - Naha, Okinawa, Japan|
継続期間: 2013 11 5 → 2013 11 8
|Other||2013 2nd IAPR Asian Conference on Pattern Recognition, ACPR 2013|
|Period||13/11/5 → 13/11/8|
ASJC Scopus subject areas
- コンピュータ ビジョンおよびパターン認識