CascadeTabNet is an algorithm used in the Jinming recognition system. It is developed by the research team of the Institute of Automation, Chinese Academy of Sciences. It is a purely domestic algorithm. It is usually used in deep learning models for table detection and table structure recognition. To solve the challenges in the field of table recognition, Jinming recognition system can use this algorithm to better and more accurately recognize the table structure in the picture.
CascadeTabNet adopts a cascade method for table detection and structure recognition. First, it uses a table detection network to detect table regions in images. It then uses a table structure recognition network to identify the rows and columns of the table and segment them into cells. Finally, it uses a table line recognition network to further extract the line information of the table.
CascadeTabNet has achieved great performance on table recognition tasks, which can accurately detect and recognize various types of tables. It has broad application prospects in practical applications, and can be used in automatic document processing, data extraction and information extraction and other fields.
Specifically, the advantages of CascadeTabNet include:
1. High accuracy: CascadeTabNet adopts a cascaded detection network, which can effectively detect the boundaries and cells of the table, and provide high-accuracy table recognition results.
2. Multi-tasking processing: CascadeTabNet can handle two tasks of table detection and table structure recognition at the same time. It can not only accurately locate the table, but also identify structural information such as rows, columns, and cells in the table.
3. Robustness: CascadeTabNet shows good robustness when dealing with various complex table scenarios, and can deal with problems such as noise, fuzzy boundaries and irregular shapes in the table.
4. Efficiency: CascadeTabNet adopts a lightweight network structure and efficient reasoning algorithm, which can complete table detection and structure recognition tasks in a short period of time.
In general, CascadeTabNet is one of the algorithms used in Jinming recognition. It is an efficient and accurate form detection and structure recognition model. It has a wide range of application prospects and can be used in automated office, data analysis and information extraction. Play an important role.
#artificial intelligence algorithm#