Offline handwritten and printed Chinese character identification method and system

Abstract

The invention discloses an offline handwritten and printed Chinese character identification method and system. The method comprises the steps of making a training set: loading the training set, loading a model for performing training, identifying the training set according to a weight of training in a model training stage, finding error parts in the training set, deleting the error parts, and adjusting parameters to obtain a final training set; and identifying an offline handwritten Chinese character: according to the final training set, loading the model and the parameters, reading a Chinesecharacter image to perform binarization and graying processing, extracting pixels of binarized and grayed images, and obtaining a new Chinese character image. The method and the system have the advantages that the realization method is simple; the application range is wide; the model adopts a convolutional neural network structure totally containing 44 convolutional layers, 10 pooling layers, 9 fusion layers, 9 batch standardization layers, 2 dropout layers, 1 full connection layer, 1 input layer and 1 output layer; and the offline Chinese character identification is accurate.

Description

technical field [0001] The invention relates to an off-line handwritten and printed Chinese character recognition method and system. Background technique [0002] At present, the field work of geological surveys is an important source of data. This part of the original geological data recorded by humans accounts for a considerable proportion of geological big data, which contains a lot of valuable information. However, due to technical reasons, this part of the data The information in it cannot be used and becomes "dark data". Chinese character recognition technology is mainly divided into two categories: printing recognition and handwriting recognition. Handwritten Chinese characters are more random and difficult to recognize than printed characters. Handwritten Chinese character recognition can be divided into online recognition and offline recognition according to the way of data collection. In online recognition, the computer can obtain the stroke order of the input c...

AI Technical Summary

Problems solved by technology

Therefore, it is very challenging for a Chinese character recognition system to be able to correctly recognize so many categories of Chinese characters

Second, the structure is complex

In addition, the quality of the writing paper, the size of the font, the quality of the scanning equipment, the interference of noise, etc., will bring great interference and difficulties to the research work of Chinese character recognition

Images