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Date of Publication:2010-01-01

Journal:大连理工大学学报

Issue:3

Page Number:356-361

ISSN No.:1000-8608

Abstract:A hierarchical phase correlation palmprint recognition (HPCPR) algorithm is presented for the low location accuracy palmprint image recognition. The global image matching and alignment are accomplished using the peak value and peak position of phase correlation function, and then a fine matching is realized through computing the weighted phase correlation of all sub-blocks taken from the coincident area of the two images. As HPCPR algorithm employs both global and local features of palmprint image and can quickly align candidate matching images, it outperforms the conventional phase correlation method in both recognition rate and efficiency. Experiments on PolyU Palmprint Database verified the effectiveness of this approach.

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