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Dataset Information

VI-OCR: "Visually Impaired" optical character recognition pipeline for text accessibility assessment.


ABSTRACT: Low vision adversely impacts daily activities, particularly reading. However, quantifying text accessibility for different levels of low vision is challenging, leading to product designs that often overlook the vision status of low vision readers. In this paper, we bridge the gap between computer vision and low vision fields by introducing a text accessibility assessment pipeline called VI-OCR (short for Visually Impaired Optical Character Recognition), based on state-of-the-art OCR models. VI-OCR mimics human text recognition ability under specified levels of visual acuity and contrast sensitivity loss, to estimate whether text of a given size would be recognizable for a low vision human reader. We benchmarked specialized OCR models and vision-language models in replicating text recogniti

SUBMITTER: Gao Q 

PROVIDER: S-EPMC12789057 | biostudies-literature | 2025 Dec

REPOSITORIES: biostudies-literature