ocr_read_line — SYMBOL `ocr` op

• Data kinds: image2d × table → table

• Call: import fullseye as fs; fs.ledger.ocr_read_line(image, model, char_height_px=None, k=None) -> 'dict' (to call the implementation directly, import ocrclassic; ocrclassic.ocr_read_line(image, model, char_height_px=None, k=None) -> 'dict'; from the registry, opssymbol.get("ocr_read_line"))

• GPU: none (CPU reference implementation only)

Usage

Read one text line in an image: segment + classify, rejected characters become ? (table).

> The detailed description below is the original text — the summary and the headings are translated.

Returns

dict

text(棄却は "?"), chars(各字の label, raw_label, box,

distance, margin, rejected), n_chars, n_rejected, line_box。

白紙は fail-soft で text == "", n_chars == 0。

Detailed usage guide

• symbol_reading family guide

References (sample data, literature)

• Sample-data catalog (download URLs / licences) — 2-D uses skimage.data (BSD/public domain) plus synthetic images; 3-D lists download URLs for real data sources (Stanford, PDS, …).

• Operator provenance and references — the sources of the research/methods this op family came from.

• The canonical algorithm (author, year) and its uses are named in the family usage guide above.

Runnable examples (verified samples that actually call this op)

• poc_symbol_lot_ocr — py -3.11 examples/poc_symbol_lot_ocr.py

Ops the type connects to (they accept `table` as input)

render_symbol · symbol_read_trials · symbol_read_pod · ocr_classify · ocr_read_trials

Same category (`ocr`)

ocr_font · ocr_render_text · ocr_segment_line · ocr_features · ocr_train · ocr_classify · ocr_score · ocr_read_trials

*Provenance: ocrclassic.py — SYMBOL operator registry. This per-op note is generated by tools/opdocs.py md (do not hand-edit).*

ocr_read_line — SYMBOL ocr op