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IMAGE TABLE EXTRACTION METHOD, APPARATUS, ELECTRONIC DEVICE AND STORAGE MEDIUM

机译:图像表提取方法,装置,电子设备和存储介质

摘要

The embodiment of the present application discloses a method of extracting a table of images, an apparatus, an electronic device, a storage medium, and a training method of a table extracting model, and relates to the field of artificial intelligence and cloud computing technology, and the step of acquiring an image to be processed, a table Based on the extraction model, a table of images to be processed is generated, wherein the table extraction model is obtained based on field position characteristics, image characteristics, and text characteristics of the sample image, and text information of the image to be processed is table And, on the one hand, through the field location feature, the relationship of each field on the location can be determined, and it can be applied to an image that is at least a partially dotted box table, and the flexibility and versatility of table recognition Implement technology effects that can improve the performance; On the other hand, by taking full consideration of field location features, image features, and text features, that is, by analyzing images to be processed in various dimensions, features of various dimensions are obtained, thereby improving the accuracy and reliability of table recognition. Implement.
机译:本申请的实施例公开了一种提取图像的表,装置,电子设备,存储介质和表提取模型的训练方法的方法,并且涉及人工智能和云计算技术领域,获取要处理的图像的步骤,产生基于提取模型的表,生成要处理的图像表,其中基于场位置特征,图像特征和文本特征获得表提取模型。样本图像和要处理的图像的文本信息是表,并且一方面,通过现场位置特征,可以确定每个字段上的每个字段的关系,并且可以应用于处于处的图像至少一个部分虚盒表,以及表识别的灵活性和多功能性实现了可以提高性能的技术效果;另一方面,通过全面考虑现场位置特征,图像特征和文本特征,即通过分析以各种尺寸处理的图像,获得各种尺寸的特征,从而提高了表识别的准确性和可靠性。实施。

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