2019 IEEE Latin American Conference on Computational Intelligence (LA-CCI) 2019
DOI: 10.1109/la-cci47412.2019.9036767
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Table Detection for Improving Accessibility of Digital Documents using a Deep Learning Approach

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Cited by 4 publications
(2 citation statements)
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“…As a result, scanned PDFs remain inaccessible to VIPs. It follows that most mathematical documents are not blindfriendly, requiring third-party solutions to provide accessibility [66], [67]. Practical implementations for making mathematical documents accessible usually perform a conversion of the non-accessible input document (i.e., PDF, Microsoft Word, HTML) into a blind-friendly document.…”
Section: ) Solutions To Make Mathematical Documents Accessiblementioning
confidence: 99%
See 1 more Smart Citation
“…As a result, scanned PDFs remain inaccessible to VIPs. It follows that most mathematical documents are not blindfriendly, requiring third-party solutions to provide accessibility [66], [67]. Practical implementations for making mathematical documents accessible usually perform a conversion of the non-accessible input document (i.e., PDF, Microsoft Word, HTML) into a blind-friendly document.…”
Section: ) Solutions To Make Mathematical Documents Accessiblementioning
confidence: 99%
“…For instance, it would be advantageous for VIPs to extract useful information from complex structures such as tables, without hearing all of their cells' content. In general, related research areas such as machine learning applications to develop assistive technologies have shown great potential to improve their quality of life [67], [97].…”
Section: A Future Workmentioning
confidence: 99%