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4 Commits

Author SHA1 Message Date
Eric Gullickson
a07ec324fe fix: use min-channel grayscale and morphological cleanup for VIN OCR (refs #113)
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Replace std-based channel selection (which incorrectly picked green for
green-tinted VIN stickers) with per-pixel min(B,G,R). White text stays
255 in all channels while colored backgrounds drop to their weakest
channel value, giving 2x contrast improvement. Add morphological
opening after thresholding to remove noise speckles from car body
surface that were confusing Tesseract's page segmentation.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-02-06 21:23:43 -06:00
Eric Gullickson
0de34983bb fix: use best-contrast color channel for VIN preprocessing (refs #113)
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White text on green VIN stickers has only ~12% contrast in standard
grayscale conversion because the green channel dominates luminance.
The new _best_contrast_channel method evaluates each RGB channel's
standard deviation and selects the one with highest contrast, giving
~2x improvement for green-tinted VIN stickers. Falls back to standard
grayscale for neutral-colored images.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-02-06 21:14:56 -06:00
Eric Gullickson
6a4c2137f7 fix: resolve VIN OCR scanning failures on all images (refs #113)
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Root cause: Tesseract fragments VINs into multiple words but candidate
extraction required continuous 17-char sequences, rejecting all results.

Changes:
- Fix candidate extraction to concatenate adjacent OCR fragments
- Disable Tesseract dictionaries (VINs are not dictionary words)
- Set OEM 1 (LSTM engine) for better accuracy
- Add PSM 11 (sparse text) and PSM 13 (raw line) fallback modes
- Add Otsu's thresholding as alternative preprocessing pipeline
- Upscale small images to meet Tesseract's 300 DPI requirement
- Remove incorrect B->8 and S->5 transliterations (valid VIN chars)
- Fix pre-existing test bug in check digit expected value

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-02-06 15:57:14 -06:00
Eric Gullickson
54cbd49171 feat: add VIN photo OCR pipeline (refs #67)
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Implement VIN-specific OCR extraction with optimized preprocessing:

- Add POST /extract/vin endpoint for VIN extraction
- VIN preprocessor: CLAHE, deskew, denoise, adaptive threshold
- VIN validator: check digit validation, OCR error correction (I->1, O->0)
- VIN extractor: PSM modes 6/7/8, character whitelist, alternatives
- Response includes confidence, bounding box, and alternatives
- Unit tests for validator and preprocessor
- Integration tests for VIN extraction endpoint

Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
2026-02-01 19:31:36 -06:00