Implicit Language Model in LSTM for OCR — mentioned by dfeng

Thu, 06 Feb 2025 11:23:01 GMT

Traditional OCRs are trained for a single task: recognize characters. They do this through visual features (and sometimes there's an implicit (or even explicit) "language" model: see https://arxiv.org/abs/1805.09441). As such, the extent of their "hallucination", or errors, is when there's ambiguity in characters, e.g. 0 vs O (that's where the implicit language model comes in). Because they're trained with a singular purpose, you would expect their confidence scores (i.e. logprobs) to be well calibrated. Also, depending on the OCR model, you usually do a text detection (get bounding boxes)…

Paper and discussion history. A mention is not an endorsement.

Implicit Language Model in LSTM for OCR · HackerPapers discussions

Implicit Language Model in LSTM for OCR — mentioned by dfeng