Character image identifying and labeling method and system

Abstract

The invention discloses a character image identifying and labeling method and system. The method or system is realized through the following steps of: firstly obtaining an original character image ora database comprising a plurality of character image labeling samples; secondly, establishing a Laplace additional information-against neural network model and generating an artificially synthesized character image according to the original character image and the Laplace additional information-against neural network model; and finally classifying the artificially synthesized character image according to an image type so as to obtain a feature image, matching the database comprising multiple character image labeling samples with the feature image, and adding labelling information of a character image labeling sample which is mostly matched with the feature image onto the feature image so as to realize automatic classification and labeling of the original character image and then improve the character image identifying and labeling efficiency.

Description

technical field [0001] The invention relates to the field of image processing, in particular to a method and system for character image recognition and labeling. Background technique [0002] "Hydrology" (Shui language) is another surviving pictograph in my country besides Dongba (Naxi language). The product is broken. As of now, there are only more than 20,000 volumes in the public collection of "Shuishu" ancient books in the country. Due to the age, problems such as incomplete pages and blurred handwriting are common, and the rescue protection of ancient Shuishu books is imminent. In recent years, using advanced information processing methods such as machine learning and big data analysis, it has broken through the traditional digital protection methods of ancient books and documents, and effectively solved key problems such as image clarity processing, image category labeling, and handwritten character recognition in the process of digital protection of ancient books and ...

AI Technical Summary

Problems solved by technology

However, due to the large number of images in ancient water books, and the inconsistent formats such as texture and size, even if advanced information processing methods such as machine learning and big data analysis are adopted, a large number of manual identification and labeling are still required in the text image recognition process. cumbersome work

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