Tesseract Binarization & Levenshtein OCR Accuracy Equations
Optical Character Recognition processes bitmap rasters through Otsu image binarization and LSTM character modeling:
1. Character Recognition Accuracy Formula (CER)
Accuracy = (1 -
Levenshtein(T_{ground}, T_{ocr})max(|T_{ground}|, |T_{ocr}|)
) × 100%2. Otsu Inter-Class Variance Maximization
σ_B^2(t) = ω_0(t)ω_1(t)[μ_0(t) - μ_1(t)]^2
Step-by-Step OCR Recognition Breakdown
Step 1: Grayscale Conversion & Adaptive Binarization
Convert pixel matrix to black and white threshold mask.
Step 2: Line Baseline & Glyph Segmentation
Detect horizontal text baselines and individual glyph contours.
Step 3: Neural LSTM Character Classification
Recognition Verdict=224 Characters Extracted
OCR Preprocessing & DPI Guidance Reference
| Image Source Type | Recommended Resolution | Expected Accuracy |
|---|---|---|
| IDE Code Screenshot | 1080p / 4K Desktop Display | 99.5% (High Precision) |
| Document Scan / PDF | 300 DPI Grayscale/Color | 98.0% - 99.0% |
| Mobile Camera Photo | 12MP+ Well-Lit Non-Skewed | 92.0% - 96.0% |