According to deficiency of the commonly used point based precipitation verification methods in weather forecast operation and model research such as TS scores, the object based verification method developed in near decade is discussed in this paper. In this method, precipitation field is regarded as a combination of many precipitation objects accompanied by several weather systems, and the verification to the position, scale and shape of each object is carried out after these precipitation objects in the observation field and prediction field are identified and matched. So, the method can provide more detailed and quantitative verification information that contains more synoptic meanings. There are three steps in this method: object identification, object pairing and object verification. In addition, this paper introduces the algorithm and processes of the object based verification method in detail and makes some improvements to the operations of the close degree during object identification and the match degree during object pairing. The improved method is applied to the verifications of precipitation of T639, ECMWF and Japan models, and verification products of the position, shape and range of heavy rainfall are created, which can provide quantificational information for the operation of weather forecasting.