Method for Offline Handwritten Chinese Character Recognition by Combining Image Processing with Convolutional Neural Network
In order to solve the problem of low recognition accuracy of similar handwritten Chinese characters by traditional off-line handwritten Chinese character recognition methods:the present study proposes a two-stage offline handwritten Chinese character recognition method that combines image processing and convolutional neural network,the first stage uses the traditional convolutional neural network for recognition,and the second stage uses the differences discrimination method based on image processing for more accurate secondary recognition.The experimental results show that the differences discrimination method based on image processing combining with convolutional neural network has better performance than the recognition method based on convolutional neural network alone,and thus the overall handwritten Chinese character recognition accuracy can be improved.In addition,the proposed method shows more stable recognition and can effectively deal with the case that training set contains mislabeled samples.
Offline Handwritten Chinese Character RecognitionSimilar Chinese CharactersConvolutional Neural NetworkMethod of Differences Discrimination
万方数据
维普
