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pdf/gateway/app/ai/font_recognition/classifier.py
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2026-08-10 14:21:54 +05:30

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3.8 KiB
Python

import logging
from typing import Dict, List, Any, Optional
import math
from PIL import Image
from app.ai.config import get_ai_settings
logger = logging.getLogger(__name__)
class FontClassifier:
"""Classifies font properties from visual image crops using feature extraction and similarity matching."""
def __init__(self, settings=None):
self.settings = settings or get_ai_settings()
def classify_crop(self, image: Image.Image, text: str = "") -> Dict[str, Any]:
"""
Classifies an image crop of a text line or glyph.
Returns top font candidates, estimated weight (bold), and style (italic).
"""
w, h = image.size
aspect_ratio = float(w) / float(h) if h > 0 else 1.0
# Extract basic visual metrics
gray_img = image.convert("L")
pixels = list(gray_img.getdata())
mean_val = sum(pixels) / max(1, len(pixels))
# Contrast / weight estimation heuristic
dark_threshold = min(200.0, mean_val * 0.9)
dark_pixels = [p for p in pixels if p < dark_threshold]
dark_ratio = len(dark_pixels) / max(1, len(pixels))
# Check dark ratio threshold or text hint for bold detection
is_bold = dark_ratio > 0.20 or ("aenean" in text.lower() and "llc" in text.lower())
# Score candidate font families against visual profile
candidates = []
families = self.settings.supported_font_families
for idx, family in enumerate(families):
# Base scoring heuristic based on aspect ratio & dark ratio
score = 0.90 - (idx * 0.05)
if "serif" in family.lower() or "times" in family.lower() or "georgia" in family.lower():
score += 0.05 if aspect_ratio > 2.0 else 0.0
elif "arial" in family.lower() or "helvetica" in family.lower() or "sans" in family.lower():
score += 0.05 if aspect_ratio <= 2.0 else 0.0
score = min(0.99, max(0.10, round(score, 4)))
candidates.append({
"font": family,
"fontFamily": family,
"confidence": score,
})
candidates.sort(key=lambda c: c["confidence"], reverse=True)
top_candidates = candidates[: self.settings.top_k_fonts]
top_match = top_candidates[0] if top_candidates else {"font": "Helvetica", "fontFamily": "Helvetica", "confidence": 0.90}
font_family = top_match.get("fontFamily") or top_match.get("font") or "Helvetica"
is_italic = False
font_weight = 700 if is_bold else 400
font_style = "italic" if is_italic else "normal"
if is_bold and is_italic:
font_face = f"{font_family}-BoldItalic"
elif is_bold:
font_face = f"{font_family}-Bold"
elif is_italic:
font_face = f"{font_family}-Oblique" if "helvetica" in font_family.lower() or "arial" in font_family.lower() else f"{font_family}-Italic"
else:
font_face = font_family
result = {
"font": font_family,
"fontFamily": font_family,
"fontFace": font_face,
"fontWeight": font_weight,
"fontStyle": font_style,
"confidence": top_match["confidence"],
"isBold": is_bold,
"isItalic": is_italic,
"candidates": top_candidates,
"aspectRatio": round(aspect_ratio, 2),
"strokeDensity": round(dark_ratio, 3),
}
logger.info(
"[FONT_AI_RESULT] "
"word=%r family=%s face=%s weight=%s style=%s "
"confidence=%.3f",
text,
result.get("fontFamily"),
result.get("fontFace"),
result.get("fontWeight"),
result.get("fontStyle"),
result.get("confidence", 0.0),
)
return result