Our project mainly depends on work on In this paper, new parallel sclera vein recognition method, which employees a two stage parallel approach for registration and matching. We designed the Y shape descriptor to narrow the search range to increase the matching efficiency, which is a new feature extraction method to take advantage of the GPU structures. We developed the WPL descriptor to incorporate mask information and make it more suitable for parallel computing, which can dramatically reduce data transferring and computation. We then carefully mapped our algorithms to GPU threads and blocks, which is an important step to achieve parallel computation efficiency using a GPU