Abstract
This paper proposes an efficient method for personnel identification which is based on Triangular Points of human hands and Wavelets Packet Transformation. In the stage of preprocessing, depending on position of the triangular points, a unique method to divide the Region of Interest (ROI) is proposed; at the same time, the distances among these points constitute an eigenvector which is the first feature of the palm. In the next stage, another palmprint feature is extracted by the Wavelets Packet Transformation. The two features are used as indexes to the palmprint templates in the database and the searching process for the best matching is conducted by a layered fashion. The experimental results illustrate the effectiveness of this method.
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