A New Approach to Palmprint Mainline Restoration Based on Gaussian Distribution

摘要

In order to solve the problem of discontinuous palmprint mainline, this paper presents a novel algorithm which can make the discontinuous mainline continuous. The algorithm consists of four steps: energy expansion based on the Gaussian function, calculation of texture probability distribution, acquisition of texture pixel values based on the exponential function and determination of the iteration. Compared with traditional methods, the distinct advantage of the algorithm is the palmprint mainline restoration with directional properties. Therefore, wrong palmprint mainline restoration could be reduced effectively. The results illustrate that the proposed algorithm is feasible and valid.