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首页> 外文会议>International Conference on Machine Learning and Data Engineering >Implementation of Chinese Reader Aid for Visually-Impaired by Using Neural Network and Text Summarization Technologies
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Implementation of Chinese Reader Aid for Visually-Impaired by Using Neural Network and Text Summarization Technologies

机译：神经网络和文本汇总技术实现视障中文阅读器的实现

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摘要

This paper proposes the intelligent system to assist the visually-impaired people in reading printed Chinese document. As the document may consist of the combination of text and photos, the proposed system first applies the text frame detection scheme to identify the text parts of the document, and utilizes the Optical Character Recognition (OCR) to convert the text image into pure text file. The aim of this paper is to implement the automatic text summarization algorithm to get the brief meaning of the whole text. And the visually-impaired people can listen to the summary of the document through the existing text to voice tool. In the system, the neural network model is adopted to find out text blocks before recognizing text, and to optimize the Chinese automatic text summarization system. The performance of the proposed scheme is also evaluated by the TextRank with Word2Vec. The proposed system can assist the visually-impaired people especially in daily life when it is applied in the wearable devices.
机译：本文提出了智能系统，以协助视觉障碍的人阅读印刷中文文件。由于文档可以包括文本和照片的组合，所提出的系统首先应用文本帧检测方案来识别文档的文本部分，并利用光学字符识别（OCR）将文本图像转换为纯文本文件。本文的目的是实施自动文本摘要算法，以获得整个文本的简要含义。和视觉障碍的人可以通过现有文本到语音工具收听文档的摘要。在该系统中，采用神经网络模型来查找文本之前的文本块，并优化中国自动文本摘要系统。拟议方案的性能也由Toxtrank与Word2VEC评估。拟议的系统可以帮助视觉上受损人群，特别是在可穿戴设备中应用时的日常生活。

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