Palmprint recognition system for large-scale crowd identification has broad application prospects. In order to speed up the identification process, a novel hashing based technique called LOFP Hashing was proposed. This method first perfermed a double-orientation encoding method solve the disadvantages of the unstable and poor accuracy of the traditional encoding method. Then proposed a window-based feature measurement to speed up the process of searching the target template, referred as local orientation field pattern. Experimental results on two real public database and a synthetic database show that, the proposed method can significantly speedup the state-of-the-art methods. Therefore, LOFP Hashing can effectively improve the performance of palmprint identification system for large-scale crowds.