Implementation of chinese reader aid for visually-impaired by using neural network and text summarization technologies

Li Jyun Chen, Chih Ying Chen, Hung Yu Chen, Guan Yu Chen, Yen Wen Chen

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

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.

Original languageEnglish
Title of host publicationProceedings - International Conference on Machine Learning and Data Engineering, iCMLDE 2019
EditorsPhill Kyu Rhee, Kuo-Yuan Hwa, Tun-Wen Pai, Daniel Howard, Rezaul Bashar
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages7-12
Number of pages6
ISBN (Electronic)9781728104041
DOIs
StatePublished - Dec 2019
Event2019 International Conference on Machine Learning and Data Engineering, iCMLDE 2019 - Taipei, Taiwan
Duration: 2 Dec 20194 Dec 2019

Publication series

NameProceedings - International Conference on Machine Learning and Data Engineering, iCMLDE 2019

Conference

Conference2019 International Conference on Machine Learning and Data Engineering, iCMLDE 2019
Country/TerritoryTaiwan
CityTaipei
Period2/12/194/12/19

Keywords

  • Automatic text summarization
  • Neural network
  • Object detection

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