Design And Implementation Of Handwritten Chinese Character Recognition Platform Based On Text Recognition

In recent years,with the development of computer technology and the popularization of electronic devices such as mobile phones,the interaction between humans and machines has become more and more frequent.The recognition of Chinese characters in the direction of human-computer interaction is widely used in document transcription and document digitization.Chinese character recognition is widely used in document transcription and document digitization.Chinese character recognition has great potential in document processing,mail sorting,business and other social activities.At present,Chinese character recognition has been applied in many fields,such as: on-line marking system,OCR system,hospital disease list recognition and so on.However,the current mainstream Chinese character recognition algorithm is to separate text detection and text recognition,which is low efficiency,and there are few recognition algorithms for handwritten Chinese characters.Therefore,this paper designs a handwritten Chinese character recognition platform integrating text detection and recognition.Based on the Beijing university of posts and telecommunications publishing HCL2000 image data sets and high school students of Chinese composition as a data source,and design a for handwritten Chinese character text image detection and recognition module in an end-to-end model,the detection and identification of unified into one model,can save network model parameters and to shorten the calculation time.The main feature extraction,detection and recognition of the network model,in which the detection module and recognition module share a convolutional neural network,to achieve the purpose of parameter sharing and reduce the amount of calculation.This model can locate and identify the text information through a single forward propagation.Compared with the traditional text recognition model,the weights of the convolution features need not be calculated separately during training and reasoning,thus saving the time of forward propagation.At the same time,the method of data enhancement is introduced for handwritten Chinese characters to increase the generalization ability of the model,and the bidirectional long and short-term memory network is integrated into the text recognition part,which effectively improves the accuracy of handwritten Chinese characters recognition according to the information of the text.Experimental results show that compared with other text recognition algorithms,the handwritten Chinese character recognition algorithm proposed in this paper has improved accuracy and speed compared with other text recognition algorithms.The platform identifies characters from the input handwritten text image through algorithm,and displays the characters through the front page and saves them in the background database.At the same time,you can upload pictures in batches for batch identification.This article through to the user’s requirements is analyzed and summarized,on the basis of the overall architecture of platform and the database has carried on the overall design,and completed the login module,the upload module,algorithm model and display module,data platform and module of research and development,and the function of the strict test,to achieve the expected performance test.