A detection method for a curved form line of a financial statement

Abstract

The invention discloses a detection method for a curved form line of a financial statement. The detection method comprises the steps of obtaining a form image and performing the image preprocessing; obtaining the actual character height and performing scaling processing; removing the red seal; carrying out the convolution processing to enhance horizontal lines and vertical lines of the table; carrying out the adaptive binarization processing to obtain a binarized image; filtering out non-form line interference; carrying out completion and interference elimination processing on the horizontal line and the vertical line by adopting a creeping worm algorithm, adding the horizontal line graph and the vertical line graph to obtain a table image, correcting the table image according to table intersection characteristics, correcting a bent table line and recognizing characters, and reconstructing a table. According to the method, the table is reconstructed, and the key information in the table is extracted, so that the table line positioning problem of the curved table is solved, and the mapping, storage and verification from the financial statement to the standard table are met.

Description

technical field [0001] The invention relates to the technical field of form line recognition of financial statements, in particular to a method for detecting curved form lines of financial statements. Background technique [0002] With the development of social economy and the advancement of China's urbanization, more and more people enter the city for employment, and more and more companies are born; at the same time, with the development of Internet technology, electronic transactions and digital transactions have become popular; for companies, Banks and stock exchanges produce more and more financial forms and information. Traditional financial statement statistics, proofreading, and auditing are all done manually; the speed is slow and the efficiency is low, and it is difficult to meet the identification, warehousing and proofreading of more and more forms and documents. [0003] How to intelligently identify and check financial and other forms and documents quickly and...

AI Technical Summary

Problems solved by technology

Among them, the completeness and accuracy of table line detection play an important role in table reconstruction and table recognition. However, the scenes taken by mobile users are different and the conditions are poor, resulting in various noises, bending, shape changes, etc. in uploaded tables. Insufficient or too strong light, etc., how to solve the positioning of such table lines, especially the positioning of curved tables, directly affects the scope of application, accuracy, flexibility, and convenience of the application

Images