When shape similarity lies: size-ratio artifacts in confusable detection Confusable detection pipelines normalise characters to a fixed canvas before measuring similarity. This hides natural size differences. We re-rendered 2,203 scored pairs (TR39 baseline + novel discoveries) at their original sizes and found 254 with width or height ratios above 2x.
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For implementers, there's no Transformer protocol with start(), transform(), flush() methods and controller coordination passed into a TransformStream class that has its own hidden state machine and buffering mechanisms. Transforms are just functions or simple objects: far simpler to implement and test.