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NEURAL NETWORK-BASED OPTICAL CHARACTER RECOGNITION

机译:基于神经网络的光学字符识别

摘要

Methods, systems, and apparatus, including computer programs encoded on computer storage media, for neural network-based optical character recognition. An embodiment of the system may generate a set of bounding boxes based on reshaped image portions that correspond to image data of a source image. The system may merge any intersecting bounding boxes into a merged bounding box to generate a set of merged bounding boxes indicative of image data portions that likely portray one or more words. Each merged bounding box may be fed by the system into a neural network to identify one or more words of the source image represented in the respective merged bounding box. The one or more identified words may be displayed by the system according to a standardized font and a confidence score.
机译:用于基于电子网络的光学字符识别的方法,系统和设备,包括在计算机存储介质上编码的计算机程序。系统的实施例可以基于对应于源图像的图像数据的重塑的图像部分生成一组边界框。该系统可以将任何交叉边界框合并到合并边界框中,以生成一组合并的边界框,其指示可能描绘了一个或多个单词的图像数据部分。每个合并的边界框可以由系统馈送到神经网络中,以识别在各个合并边界框中表示的源图像的一个或多个单词。系统可以根据标准化字体和置信度分数显示一个或多个所识别的单词。

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