Fast palmprint identification using principal orientation pattern hashing

A palmprint identification system recognizes a query palmprint image from all the templates in a database. When applied on a large-scale identification system, it is often necessary to speed up the searching process. In this paper, we present a fast palmprint identification method using principal orientation pattern hashing. We propose three properties required by a hash function and demonstrate that the principal orientation pattern introduced in this paper has all of these properties. The effectiveness of our method has been tested on two palmprint databases. The results on the Hong Kong large-scale database (9667 palms) show that the proposed method is 19.91 times faster than brute force search, while its accuracy is slightly higher. Evaluations on the CASIA palmprint database (600 palms) plus a synthetic database (100,000 palms) show a speedup of 15.67 over brute force search and a negligible loss of accuracy.