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Kuriakose, Anju

doi:10.4103/ijo.ijo_2860_20

Cited by 1 publication

(1 citation statement)

References 9 publications

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“…With advances in smartphone technology, particularly in camera quality, several visual aids for VIPs are emerging [1,2] with Microsoft's Seeing AI as the current market frontrunner. These assistive technologies range from navigation aids [3] to object detectors [4] and readers [5].…”

Section: Introductionmentioning

confidence: 99%

SEDIQA: Sound Emitting Document Image Quality Assessment in a Reading Aid for the Visually Impaired

Courtney

2021

J. Imaging

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For visually impaired people (VIPs), the ability to convert text to sound can mean a new level of independence or the simple joy of a good book. With significant advances in optical character recognition (OCR) in recent years, a number of reading aids are appearing on the market. These reading aids convert images captured by a camera to text which can then be read aloud. However, all of these reading aids suffer from a key issue—the user must be able to visually target the text and capture an image of sufficient quality for the OCR algorithm to function—no small task for VIPs. In this work, a sound-emitting document image quality assessment metric (SEDIQA) is proposed which allows the user to hear the quality of the text image and automatically captures the best image for OCR accuracy. This work also includes testing of OCR performance against image degradations, to identify the most significant contributors to accuracy reduction. The proposed no-reference image quality assessor (NR-IQA) is validated alongside established NR-IQAs and this work includes insights into the performance of these NR-IQAs on document images. SEDIQA is found to consistently select the best image for OCR accuracy. The full system includes a document image enhancement technique which introduces improvements in OCR accuracy with an average increase of 22% and a maximum increase of 68%.

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Section: Introductionmentioning

confidence: 99%

SEDIQA: Sound Emitting Document Image Quality Assessment in a Reading Aid for the Visually Impaired

Courtney

2021

J. Imaging

View full text Add to dashboard Cite

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Commentary

Cited by 1 publication

References 9 publications

SEDIQA: Sound Emitting Document Image Quality Assessment in a Reading Aid for the Visually Impaired

SEDIQA: Sound Emitting Document Image Quality Assessment in a Reading Aid for the Visually Impaired

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