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pp-ocrv5-research
pdf_signature_extraction/test_results/v5_result.json
gbanyan 21df0ff387 Complete PP-OCRv5 research and v4 vs v5 comparison 
## 研究成果

### PP-OCRv5 API 測試
- 成功升級到 PaddleOCR 3.3.2 (PP-OCRv5)
- 理解新 API 結構和調用方式
- 驗證基礎檢測功能

### 關鍵發現
❌ PP-OCRv5 **沒有內建手寫分類功能**
- text_type 字段是語言類型，不是手寫/印刷分類
- 仍需要 OpenCV Method 3 來分離手寫和印刷文字

### 完整 Pipeline 對比測試
- v4 (2.7.3): 檢測 14 個文字 → 4 個候選區域
- v5 (3.3.2): 檢測 50 個文字 → 7 個候選區域
- 主簽名區域：兩個版本幾乎相同 (1150x511 vs 1144x511)

### 性能分析
優點：
- v5 手寫識別準確率 +13.7% (文檔承諾)
- 可能減少漏檢

缺點：
- 過度檢測（印章小字等）
- API 完全重寫，不兼容
- 仍無法替代 OpenCV Method 3

### 文件
- PP_OCRV5_RESEARCH_FINDINGS.md: 完整研究報告
- signature-comparison/: v4 vs v5 對比結果
- test_results/: v5 測試輸出
- test_*_pipeline.py: 完整測試腳本

### 建議
當前方案（v2.7.3 + OpenCV Method 3）已足夠穩定，
除非遇到大量漏檢，否則暫不升級到 v5。

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude <noreply@anthropic.com>
2025-11-27 11:21:55 +08:00

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