全局-局部视觉神经感知模型识别行政公文逻辑结构
Neural perceptual model to global-local vision for recognition of the logical structure of administrative documents
摘要：
本文给出了模拟全局局部视觉的透明神经网络TNN的定义及其在行政公文图像分割中的应用。我们已经开发并采用了一种识别方法，该方法模拟了实验心理学研究中报告的背景效应。然后，我们评估和测试的TNN和多层感知器“MLP”，这表明它的有效性在该领域的识别，以表明TNN是更清晰的用户和更强大的识别水平。事实上，TNN是唯一能够识别文件及其结构的系统。
英文摘要：
This paper gives the definition of Transparent Neural Network "TNN" for the simulation of the globallocal vision and its application to the segmentation of administrative document image. We have developed and have adapted a recognition method which models the contextual effects reported from studies in experimental psychology. Then, we evaluated and tested the TNN and the multi-layer perceptron "MLP", which showed its effectiveness in the field of the recognition, in order to show that the TNN is clearer for the user and more powerful on the level of the recognition. Indeed, the TNN is the only system which makes it possible to recognize the document and its structure.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
