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However, in actual applications, incomplete 3D images will be encountered. In order to screen the required image information from a large amount of images, it is necessary to recognize and match the image, and so the research has long-term application value. In this paper, SIFT algorithm was used to extract the feature vectors for incomplete 3D information recognition. Then, the modeling method of circular matching pattern was proposed, and the pattern of mathematical recognition was adopted in the process of image recognition. After that, on the basis of a large number of domestic and foreign research literatures, the process of \u201cimage hypothesis\u201d converted to \u201cimage recognition\u201d was completed. Finally, the system simulation was carried out by using Microsoft Visual Studio. For the incomplete 3D information image, the image feature recognition system was completed.<\/jats:p>","DOI":"10.1186\/s13638-020-01726-0","type":"journal-article","created":{"date-parts":[[2020,5,11]],"date-time":"2020-05-11T19:03:34Z","timestamp":1589223814000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":4,"title":["Design of incomplete 3D information image recognition system based on SIFT algorithm and wireless network"],"prefix":"10.1186","volume":"2020","author":[{"given":"Zhang","family":"Zhixin","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jiang","family":"Shuhao","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2020,5,11]]},"reference":[{"issue":"5","key":"1726_CR1","first-page":"1107","volume":"34","author":"L Jia","year":"2013","unstructured":"L. Jia, W. 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