Using innovative information means to form the digital management sys- tem of rural residential land is the key point to solve the difficult and hot issues in rural residential land management. In view of the diversity, large quantity, and preservation with paper of rural residential land data, a new method for automatic cutting and classification of digital images based on the image data source and us- ing the image processing algorithm and Python programming was proposed in order to achieve rapid and accurate collection and digital storage of rural residential land cadastral data. Using this method, digital image automatic cutting and classification were realized, and the efficiency and accuracy of this method was validated by comparing with the non-support free shooting method and manual image process- ing. The experimental results showed that the efficiency of the data acquisition of the fixed shooting method was 4.24 times of that of the non-support free shooting method with the accuracy rate increasing by 7.1%, and the efficiency of automatic image processing was 35 times of that of manual processing. Based on rapid and accuracy data acquisition, this method realized the automatic processing of digital images, which provided a reference for the research of informatization technology of the whole rural residential land data and has the value of popularization and appli- cation.
