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| Research on Products Modeling and Image Identification of Digital Function Information Paper |
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| DOI：10.11981/j.issn.1000-6842.2018.01.61 |
| Key Words:digital paper; modeling; image identification; ORB algorithm |
| Fund Project:2017年陕西省科技计划项目(编号：2017GY-063；项目：特种纸生产过程中内嵌信息的数字化表征与识别研究)。 |
| Author Name | Affiliation | | 张开生 | 陕西科技大学电气与信息工程学院，陕西西安，710021 | | 韦逸野 | 陕西科技大学电气与信息工程学院，陕西西安，710021 |
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| Abstract: |
| Product modeling of digital paper was conducted through Unigraphics NX, mainly focusing on the simulation of digital paper information based on dot matrix graphics during the paper forming process, and the digitized paper images were obtained theoretically. The image identification results for paper information using template matching based on image pixel values, ORB and improved ORB were compared. The experimental results showed that the improved ORB algorithm was time-consuming and had strong real-time performance under the premise of keeping the matching accuracy, which provided a theoretical basis for the identification of digital functions of paper. |
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