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The problem of palmprint application in public security department is described in this paper such as large database and poor quality of the scene palmprint. Firstly, the computational complexity of palmprint feature point matching algorithm is analyzed. The three-level feature points matching algorithm is presented according to the analysis results; secondly, the working process of the three-level feature points matching algorithm is introduced in detail; finally, the algorithm is transformed to GPU (Graphics Processing Units) parallel and the test result is given. The GPU technology is firstly applied to the palmprint recognition in our study. The result showed that the speed of palmprint feature matching compared with others increased by about three times and the speed can increase to more than 15 times with the GPU technology.

Palmprint Minutia Point Matching Algorithm and GPU Application