ICP registration using principal line and orientation features for palmprint alignment
Image alignment is a crucial step for palmprint recognition. Current key point based palmprint pre-processing methods, however, can only provide coarse alignment. The rotation of extracted region of interest (ROI) often causes the failure of genuine matching. To solve this problem, in this paper we propose to use iterative closest point (ICP) algorithm for palmprint alignment before matching of features. Using both the palm line and orientation features extracted by high order steerable filters, the proposed method has fast convergence speed and high registration accuracy, which result in greatly improved verification accuracy. Experimental results on Hong Kong PolyU palmprint database demonstrate the effectiveness of the proposed method.