Real-time bank document fraud detection: 6-signal CV+OCR fusion (ELA, Grad-CAM, MC Dropout, OCR-spatial IoU) → tiered risk scoring → deployed as AWS SageMaker inference API.
Banking-optimized signature verification with Siamese CNN - Contrastive learning for forgery detection with high recall for fraud prevention
Detect hidden, residual, and machine-readable content in documents, images, and files.
Herramienta open source para auditoría forense de PDF: detecta revisiones ocultas por actualización incremental y redacciones defectuosas (texto extraíble bajo tachaduras), para peritaje informático.
AI-powered forensic analysis for detecting identity and educational document manipulation with explainable, multi-signal evidence.
Multi-modal AI framework for detecting synthetic & forged Indian identity documents (PAN, Aadhaar, Passport, UPI QR).
Loan underwriting fraud checker. Cross-checks borrower docs against registries, bank flows, and land-use data — ELA forensics, Benford, and a consistency graph that shows where the story breaks.
An end-to-end document forensics pipeline for deepfake document detection and pixel-level tamper localization across 11,962 document and receipt samples.
Document forgery detection — flags documents altered to imitate genuine originals. Built for ThinkRoot × Vortex'26 (NIT Trichy).
Font provenance reference — dated, source-verified timelines of bundled fonts and default-typeface changes across Windows, macOS, iOS, Android, Linux, office suites, PDF/OCR tools, and document libraries. For document dating and toolchain fingerprinting.
Open-source ML + blockchain for verifying Indonesian diplomas & competency certificates: a multimodal model detects & localizes document forgery; verified docs anchored on-chain.
Deep learning and Error Level Analysis for handwritten document forgery detection.
An 8.8 MB document layout detector for damaged, scanned and photographed pages. Detects fifteen region types including form fields, and reports eight page-condition signals. Reaches 0.449 mAP@50-95 on degraded scans where a larger YOLOv8n baseline reaches 0.194.
Identity-document fraud detection: ResNet50 visual inspection, ICAO MRZ/OCR structural checks, and pixel forensics (EXIF, ELA, double compression), fused into one authenticity score with Grad-CAM/LIME explainability. FastAPI + React/TypeScript.
Trace a leaked document photo back to the exact copy it came from. Invisible per-copy fingerprints for printed documents, decoded blind from a phone photo.
See what the parser sees — hidden-text and document-integrity scanner for PDF/DOCX. Runs entirely in your browser; nothing is uploaded.
Forensic PDF auditor CLI. Detect edited, forged, or tampered PDFs with a 0-100 trust score. Local-first, no cloud, no uploads.
Full-stack PDF metadata forensics tool that flags backdating & tampering signals for manual review. Next.js + FastAPI.
Open-set typography anomaly detection for document forensics: metric learning, conformal calibration, and a measured end-to-end detection benchmark.
AI-powered document forgery & tampering detector — 7 forensic detectors + a trained two-stream CNN, fused into an AUTHENTIC / TAMPERED / AI-GENERATED verdict with a heatmap. FastAPI · PyTorch · React.
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