Proceedings of the 2nd International Conference on Information, Control and Automation, ICICA 2022, December 2-4, 2022, Chongqing, China

Research Article

Research on Positioning Method of Irregular Table of Mechanical Process Card

Download152 downloads
  • @INPROCEEDINGS{10.4108/eai.2-12-2022.2327930,
        author={Jianheng  Li and Peng  Wang and Zhigang  L\'{y} and Liangliang  Li},
        title={Research on Positioning Method of Irregular Table of Mechanical Process Card},
        proceedings={Proceedings of the 2nd International Conference on Information, Control and Automation, ICICA 2022, December 2-4, 2022, Chongqing, China},
        publisher={EAI},
        proceedings_a={ICICA},
        year={2023},
        month={3},
        keywords={inclination correction; histogram statistics; table splicing; histogram projection;},
        doi={10.4108/eai.2-12-2022.2327930}
    }
    
  • Jianheng Li
    Peng Wang
    Zhigang Lü
    Liangliang Li
    Year: 2023
    Research on Positioning Method of Irregular Table of Mechanical Process Card
    ICICA
    EAI
    DOI: 10.4108/eai.2-12-2022.2327930
Jianheng Li1, Peng Wang1,*, Zhigang Lü1, Liangliang Li1
  • 1: Xi'an Technological University
*Contact email: wp_xatu@163.com

Abstract

The retrieval of paper form data is large, and the storage cost is high and wasteful, and the digital reproduction of form data has become more and more common. Due to the immaturity of the early watchmaking technology of the mechanical craft card, there were problems such as dotted vertical frame lines, misplaced frame lines, and table spreads. First, a table document tilt correction algorithm based on straight line detection is used, which is convenient for better realization of table extraction and positioning and identification of effective information. Homogeneous, according to the characteristics of irregular table style, an irregular table extraction algorithm based on double histogram statistical clustering is designed to achieve precise positioning of table areas. Then, according to the sample characteristics of the cross-page table, a cross-page table splicing algorithm based on local characteristics is designed to ensure the integrity of the data. Finally, by extracting irregular table cell images and bi-histogram projection, a non-regular table cell extraction algorithm based on image statistics clustering is realized.