Towards Mobile OCR: How To Take a Good Picture of a Document Without Sight
Identifieur interne : 000030 ( Main/Exploration ); précédent : 000029; suivant : 000031Towards Mobile OCR: How To Take a Good Picture of a Document Without Sight
Auteurs : Michael Cutter ; Roberto ManduchiSource :
- Proceedings of the ACM Symposium on Document Engineering. ACM Symposium on Document Engineering ; 2015.
Abstract
The advent of mobile OCR (optical character recognition) applications on regular smartphones holds great promise for enabling blind people to access printed information. Unfortunately, these systems suffer from a problem: in order for OCR output to be meaningful, a well-framed image of the document needs to be taken, something that is difficult to do without sight. This contribution presents an experimental investigation of how blind people position and orient a camera phone while acquiring document images. We developed experimental software to investigate if verbal guidance aids in the acquisition of OCR-readable images without sight. We report on our participant's feedback and performance before and after assistance from our software.
Url:
DOI: 10.1145/2682571.2797066
PubMed: 26677461
PubMed Central: 4677830
Affiliations:
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Le document en format XML
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