A Table Recognition and Extraction Algorithm in Dongba Character Documents Based on Hough Transform

Dongba hieroglyphs is a text form that transitions from pictographs to pictographs and phonetic characters. In order to distinguish them from modern characters, many Dongba hieroglyphs use tables to distinguish between Dongba hieroglyphs and modern characters. Through the division function of the table, the structure of the document is clearly, and readers can also understand the reading order of Dongba characters more quickly. It can be seen that analyzing the structure of the document, identifying and separating the tables in the document, classifying and storing Dongba characters and annotations are very important tasks. Therefore, we used the Hough transform algorithm to realize the recognition and extraction of the table by analyzing the structural features of the document image. It lays the foundation for realizing the extraction, classification and storage of Dongba hieroglyphs and the establishment of Dongba hieroglyphs database.