Pose Invariant Palmprint Recognition

14 years 2 months ago
Pose Invariant Palmprint Recognition
Abstract. A palmprint based authentication system that can work with a multipurpose camera in uncontrolled circumstances, such as those mounted on a laptop, mobile device or those for surveillance, can dramatically increase the applicability of such a system. However, the performance of existing techniques for palmprint authentication fall considerably, when the camera is not aligned with the surface of the palm. The problems arise primarily due to variations in appearance introduced due to varying pose, but is compounded by specularity of the skin and blur due to motion and focus. In this paper, we propose a method to deal with variations in pose in unconstrained palmprint imaging. The method can robustly estimate and correct variations in pose, and compute a similarity measure between the corrected test image and a reference image. Experimental results on a set of 100 user’s palms captured at varying poses show a reduction in Equal Error Eate from 22.4% to 8.7%.
Chhaya Methani, Anoop M. Namboodiri
Added 26 May 2010
Updated 26 May 2010
Type Conference
Year 2009
Where ICB
Authors Chhaya Methani, Anoop M. Namboodiri
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