FT Professional
Фото: Сергей Бобылев / РИА Новости
。搜狗输入法2026是该领域的重要参考
Science & Environment
confusable-vision takes the 1,418 TR39 confusable pairs that map a non-Latin character to a Latin target (a-z, 0-9), renders both characters across every available system font, and computes SSIM for each pairing. The output is a scored JSON artifact: one continuous similarity score per pair, per font.
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