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Implement receipt-specific OCR extraction for fuel receipts: - Pattern matching modules for date, currency, and fuel data extraction - Receipt-optimized image preprocessing for thermal receipts - POST /extract/receipt endpoint with field extraction - Confidence scoring per extracted field - Cross-validation of fuel receipt data - Unit tests for all pattern matchers Extracted fields: merchantName, transactionDate, totalAmount, fuelQuantity, pricePerUnit, fuelGrade Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
17 lines
467 B
Python
17 lines
467 B
Python
"""Image preprocessors for OCR optimization."""
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from app.services.preprocessor import ImagePreprocessor, preprocessor
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from app.preprocessors.vin_preprocessor import VinPreprocessor, vin_preprocessor
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from app.preprocessors.receipt_preprocessor import (
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ReceiptPreprocessor,
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receipt_preprocessor,
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)
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__all__ = [
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"ImagePreprocessor",
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"preprocessor",
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"VinPreprocessor",
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"vin_preprocessor",
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"ReceiptPreprocessor",
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"receipt_preprocessor",
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]
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