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CHARACTER RECOGNITION SYSTEMS AND CHARACTER RECOGNITION METHODS THEREOF USING CONVOLUTIONAL NEURAL NETWORK

机译:卷积神经网络的字符识别系统及其特征识别方法

摘要

A character recognition method is provided, including the steps of: recognizing a character string, which includes one or more characters, in a region of interest (ROI) using a first convolutional neural network (CNN) model to generate a recognized character string; and comparing the recognized character string with a plurality of character strings in a character database to find a character string corresponding to the recognized character string, wherein each of the character strings includes one or more characters; wherein if the character string corresponding to the recognized character string is found, the recognized character string is used as a character recognition result, otherwise, using a second CNN model to correct the recognized string and generate a new recognized character string as the character recognition result.
机译:提供了一种字符识别方法,包括以下步骤:使用第一卷积神经网络(CNN)模型在感兴趣区域(ROI)中识别包括一个或多个字符的字符串;以生成识别的字符串;在字符串数据库中将识别出的字符串与多个字符串进行比较,以找到与识别出的字符串对应的字符串,其中,每个字符串包括一个或多个字符;其中,如果找到对应于识别字符串的字符串,则将该识别字符串作为字符识别结果,否则,使用第二CNN模型对识别字符串进行校正,并生成新的识别字符串作为字符识别结果。 。

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