In order to solve the difficult problem of locating large size multi-blind holes in laser processing, local pictures were taken by industrial cameras. According to the structure and distribution characteristics of blind holes in meshes, blind holes in local images were detected by least square fitting circle method. Neighborhood feature was used to find feature points in a network. By using feature point matching to realize local localization as a whole, the precise and efficient positioning of the workpiece was realized. The results show that, neighborhood feature method has a positioning accuracy of 0.02mm for blind holes in meshes. Effective positioning of blind holes is realized. It solves the problem of difficult positioning of dot processing parts. This study provides a basis for further research on laser processing in blind holes.