Literature DB >> 26677461

Towards Mobile OCR: How To Take a Good Picture of a Document Without Sight.

Michael Cutter1, Roberto Manduchi2.   

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.

Entities:  

Keywords:  Design; Document Processing; Experimentation; Human Factors; Optical Character Recognition; Visual Impairment

Year:  2015        PMID: 26677461      PMCID: PMC4677830          DOI: 10.1145/2682571.2797066

Source DB:  PubMed          Journal:  Proc ACM Symp Doc Eng


  1 in total

1.  Improving the Accessibility of Mobile OCR Apps Via Interactive Modalities.

Authors:  Michael Cutter; Roberto Manduchi
Journal:  ACM Trans Access Comput       Date:  2017-10
  1 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.