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Research Article

Intelligent Extraction of Multi-style and Multi-template Title Block Information Based on Fuzzy Matching

ORCID Icon, &
Article: 2327005 | Received 06 Jun 2023, Accepted 29 Feb 2024, Published online: 11 Mar 2024
 

ABSTRACT

Title blocks are crucial primary data on drawings necessary for the operation of modern manufacturing enterprises. However, their uniform export poses a challenge due to the heterogeneity across multiple sources and the variety of export templates. Therefore, this paper proposes an intelligent extraction method for title block information (TBI) based on fuzzy matching. This method evaluates the geometrical composition of the title block, the logical relationship between information cells, and the diversification of the title block. It establishes a weighted intersection point matrix for the title block as the topological structure model. The fuzzy matching, based on the intersection matrix points, disregards the variations in the size and position of the title block and focuses only on the style that impacts the extraction of information. The matched title blocks are categorized, and the base table of each type determines the information distribution of the title block. A hash table is then created between the description cell and the value cell of information to accumulate the TBI. The method is integrated into the AutoCAD software and presented with an interactive program interface. Finally, an example is presented to further demonstrate the stability, reliability, and efficiency of the method and the system.

Acknowledgements

The authors are grateful to Wenzhou Haorui Network Technology Co., Ltd. for their valuable support throughout the project.

Disclosure statement

No potential conflict of interest was reported by the author(s).

Authors’ contributions

The contributions of the authors are as follows:

Gui LI contributed to the study’s conception and manuscript writing.

Qinluan PENG implemented the software algorithms and functions with constructive discussion.

Ming LUO significantly contributed to the algorithm design and manuscript preparation.

Availability of Data and Materials

The datasets used or analyzed during the current study are available from the corresponding author upon reasonable request.

Additional information

Funding

This work is supported by the open project program of the State Key Laboratory of CAD&CG [Grant No. A2113], Zhejiang University.