AI RESEARCH
Evaluating OCR Performance for Assistive Technology: Effects of Walking Speed, Camera Placement, and Camera Type
arXiv CS.CV
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ArXi:2602.02223v2 Announce Type: replace Optical character recognition (OCR), a process that converts printed or handwritten text into machine-readable form, is widely used in assistive technology for people with blindness and low vision. Yet most evaluations rely on static datasets that do not reflect the challenges of mobile use. In this study, we systematically evaluated OCR performance under both static and dynamic conditions. Static tests measured detection range across distances of 1-7 meters and viewing angles of 0-75 degrees horizontally.