gbanyan
5d9404d236
Verdict: Minor Revision; Phase 5 panel convergence achieved.
Panel convergence audit (3/3 reviewers in Accept/Minor band):
- Gemini round-2: Accept
- Opus round-2: Minor Revision
- codex round-9 (this artifact): Minor Revision
Original Phase 5 gate ("Accept/Minor consensus from >=2 of 3
reviewers") is met. Codex recommends closing Phase 5 after two
small text patches surface in this review.
N1-N4 closure verification:
- N3 (Table XXVII numbering): CLOSED
- N4 (cross-firm hit matrix assumption disclosure): CLOSED
- N1 (Firm C denominator reconciliation): STRUCTURALLY CLOSED but
factually WRONG — codex queried the DB and verified all 379
mixed-firm PDFs are 1:1 Firm C/Firm D ties (not Firm C majority).
Round-4 propagated Opus round-2's incorrect inference about
majority firm. Script 45's np.argmax(counts) returns the
first-sorted firm on ties; Firm C wins alphabetically.
- N2 (composition-decomposition row added): STRUCTURALLY CLOSED
but the untested-assumption column over-attributes corroboration
to Script 39c. Codex's read-only rerun of the jitter procedure
produced non-Big-4 median-p range [0.3755, 1.0], not the
manuscript's [0.71, 1.00]; the non-Big-4 per-firm jittered table
is not emitted by Script 39c/39d reports. Recommend narrowing
the row to evidence that IS emitted (Script 39d Big-4 per-firm
jitter + Script 39e Big-4 pooled centred+jittered).
Round-5 patch recommendations from codex (text-only, no script
reruns):
1. §IV-M.4 line 325: replace "majority firm" with "1:1 tie-break
to first-sorted firm" wording
2. §III-M Table XXVII row 1 assumption cell: narrow to Big-4
jittered + centred+jittered evidence; reconcile §III lines 59
and 382 plus Phase 4 lines 31 and 81 to match
3. Targeted grep after patch: `rg -n "majority firm |9 tools|
nine-tool|Script 39c|jittered-dHash" paper/v4`
Splice-time mechanical strips (deferred to manuscript-master
assembly): Phase 4 draft note + close-out checklist + §III
cross-reference checklist still contain stale "nine-tool" / "9 tools"
language explicitly marked "remove before submission."
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
PDF Signature Extraction System
Automated extraction of handwritten Chinese signatures from PDF documents using hybrid VLM + Computer Vision approach.
Quick Start
Step 1: Extract Pages from CSV
cd /Volumes/NV2/pdf_recognize
source venv/bin/activate
python extract_pages_from_csv.py
Step 2: Extract Signatures
python extract_signatures_hybrid.py
Documentation
- PROJECT_DOCUMENTATION.md - Complete project history, all approaches tested, detailed results
- README_page_extraction.md - Page extraction documentation
- README_hybrid_extraction.md - Hybrid signature extraction documentation
Current Performance
Test Dataset: 5 PDF pages
- Signatures expected: 10
- Signatures found: 7
- Precision: 100% (no false positives)
- Recall: 70%
Key Features
✅ Hybrid Approach: VLM name extraction + CV detection + VLM verification
✅ Name-Based: Signatures saved as signature_周寶蓮.png
✅ No False Positives: Name-specific verification filters out dates, text, stamps
✅ Duplicate Prevention: Only one signature per person
✅ Handles Both: PDFs with/without text layer
File Structure
extract_pages_from_csv.py # Step 1: Extract pages
extract_signatures_hybrid.py # Step 2: Extract signatures (CURRENT)
README.md # This file
PROJECT_DOCUMENTATION.md # Complete documentation
README_page_extraction.md # Page extraction guide
README_hybrid_extraction.md # Signature extraction guide
Requirements
- Python 3.9+
- PyMuPDF, OpenCV, NumPy, Requests
- Ollama with qwen2.5vl:32b model
- Ollama instance: http://192.168.30.36:11434
Data
- Input:
/Volumes/NV2/PDF-Processing/master_signatures.csv(86,073 rows) - PDFs:
/Volumes/NV2/PDF-Processing/total-pdf/batch_*/ - Output:
/Volumes/NV2/PDF-Processing/signature-image-output/
Status
✅ Page extraction: Tested with 100 files, working ✅ Signature extraction: Tested with 5 files, 70% recall, 100% precision ⏳ Large-scale testing: Pending ⏳ Full dataset (86K files): Pending
See PROJECT_DOCUMENTATION.md for complete details.