High precision braille identification method and system

Abstract

The invention relates to a high precision braille identification method and system; the method comprises the following steps: using an acquisition device to obtain a digitized image of paper mold Braille; marking braille points for the braille in the digitized image, using the marked digitized image as a training sample, wherein the braille points are bumps or recessed points; splitting the digitized image into a positive sample containing braille points and a negative sample containing background points according to the marking information of the braille points in the training sample; extracting various features of the positive and negative samples, and respectively training a plurality of classifiers; positioning braille parties of a to-be-detected braille image, taking the area (with the 6 braille points corresponding to each braille party as the center) as the to-be-detected area, and respectively inputting various features of the to-be-detected area into the corresponding classifier; fusing the identification results of all classifiers so as to determine the position and type information of the braille points in the to-be-detected braille image. The method and system can fusethe detection results of the classifiers, thus realizing high precision braille identification.

Description

technical field [0001] The invention relates to the field of braille marking, in particular to a high-precision braille recognition method and system. Background technique [0002] Due to visual impairment, the visually impaired cannot obtain information in plain text like a sighted person. They mainly obtain information by touching Braille symbols to read Braille. At present, the number of Braille books in circulation is still small, which cannot meet the reading needs of blind friends. On the other hand, the Braille library has stored many valuable early books and documents in Braille. Due to the lack of digital information in Braille, these books are expensive to republish. Moreover, in the field of special education, the preparation and marking of test papers for blind students is still done by manual translation by Braille teachers, which is time-consuming and laborious, and lacks objectivity. Therefore, Braille automatic detection and recognition technology for paper...

AI Technical Summary

Problems solved by technology

[0005] In order to solve the problem that the above paper-based Braille dot detection technology is not robust enough, the speed is slow, and cannot adapt to various Braille printing forms and collection forms, the present invention proposes a Braille dot detection method and system

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