Signature Pasting Pipeline
Signatures from CEDAR and SigNet are cleaned, augmented, and pasted onto document templates. Signature field coordinates are currently hardcoded — obtained by running pdfplumber on the original born-digital PDF templates and converting PDF point coordinates to PNG pixel coordinates.

Field Auto-Detection (in progress) Currently working on automatically detecting signature and other fields from the template images using OpenCV, so the pipeline works even when new templates are added without needing to manually measure coordinates.

Test Cases (in progress) 50 structured test cases generated across 5 scenario types (PASS, NO_SIGNATURE, WRONG_PERSON, WRONG_ROLE, REQUIRED_PERSON_MISSING). Each case folder contains the generated document, reference signature images, and a ground_truth.json.