Text row arrangement analytical method and device for text area recognition

Abstract

The embodiment of the invention discloses a text row arrangement analytical method and device for text area recognition. The text row arrangement analytical method for text area recognition comprises the steps that any two of individual-character areas are matched to form a candidate pair, wherein the individual-character areas are extracted from an image, and the two individual-character areas of each candidate pair have the most similar characteristic; candidate pairs, meeting preset aggregation conditions, in the candidate pairs formed through matching are aggregated to form a candidate set; the candidate set is set up to be a connected component, a maximum clique is searched in the connected component, and rows formed by the maximum clique serve as rows to be selected; the initial direction of a baseline and the initial direction of an apical line of the rows to be selected are calculated; mid-value separation distances of the individual-character areas in the rows to be selected are calculated according to the direction of the initial row of the rows to be selected, and the row, to be selected, with the minimum mid-value separation distance is selected to serve as a text row; the candidate pair contained in the text row is deleted from the candidate set, and a new text row is continuously selected out. According to the text row arrangement analytical method and device for text area recognition, the text row with the small number of characters can be accurately extracted from a manually-edited image, and accuracy of character recognition is improved.

Description

Technical field [0001] The invention relates to the field of image processing, in particular to a method and device for analyzing character line arrangement in character region recognition. Background technique [0002] The text recognition technology in images has a wide range of practical applications, such as content recognition of scanned documents or automatic postal code recognition. With the promotion of digital cameras and the development of Internet technology, more and more images are generated after manual editing based on the captured images, such as figure 1 As shown, these manually edited images usually have complex background images, changeable foreground colors and textures. In order to recognize the text in these complex manually edited images, the text area needs to be positioned and cut first. Here, "text "Is a general term, including Arabic numerals and characters in various languages, such as Chinese characters or English letters. [0003] In the process of po...

AI Technical Summary

Problems solved by technology

[0006] However, in the process of realizing the present invention, the inventors of the present invention have found that at least the following problems exist in the existing text line arrangement analysis method based on region aggregation: this method still cannot combine text lines with fewer texts in manually edited images with The noise area is distinguished, and the text line with a small number of text cannot be accurately extracted

Images