Abstract: Pulsar searching is an important frontier in radio astronomy. Weaker signals can be received as the performance of search facilities continualy improved. However,how to accurately identify the suspected pulsar signal from massive candidates has become a challenge. The pulsar candidate classification methods about development history and current situation at home and abroad. The classification methods in each stage include:manual selection methods and machine learning methods. At last,the future development trends are analyzed.