ahmadous/anip-benin-2025-identity-ai
Domain:
digital infrastructureRecord type:
project
Creator:
ahm
Host:
AI system for identity document verification — Face matching, Age estimation, OCR & Fraud detection — ANIP Benin 2025
# ANIP Benin 2025 — Identity AI System 🪪🤖
## AI-Powered Identity Document Verification
### Finalist — ANIP Benin Challenge 2025
---
## Three Tasks Implemented
### Task 1 — Face Matching & Verification
Siamese Network for facial recognition and
identity verification on official documents.
**Approach:**
- Contrastive loss function
- Cosine similarity embeddings
- TensorFlow + OpenCV
**Stack:** Python | TensorFlow | OpenCV | NumPy
---
### Task 2 — Age Estimation
Deep learning regression model for age
estimation from facial photos.
**Results:**
- Best val_MAE: 9.16 years
- Training: 30 epochs with ReduceLROnPlateau
- Dataset: 200 test images
**Stack:** Python | TensorFlow | Transfer Learning
---
### Task 3 — OCR & Document Fraud Detection
Five-class fraud classification on identity
documents from 4 countries.
**Two versions developed:**
- v1: EfficientNetB0 baseline
- v2 (improved): EfficientNetV2B0 + Cosine Decay
+ Advanced data augmentation
**Results:**
- Best val_accuracy: 20.4% (difficult 5-class problem)
- 200 test images | 4 countries: arizona_dl, esp, est, rus
- CPU-only training
**Stack:** Python | TensorFlow | EfficientNetV2 | OCR
---
## Key Learnings
This challenge demonstrated the complexity of
real-world biometric AI:
- Face verification requires robust embedding spaces
- Age estimation degrades on small/unbalanced datasets
- Document fraud detection with 5 classes and
limited data is genuinely hard
The value lies in the methodology, not just the metrics.
---
## Repository Structure
```
anip-benin-2025-identity-ai/
├──
│ └── tache1_face_matching.ipynb
├──
│ └── tache2_age_estimation.ipynb
├──
│ ├── tache3_ocr_fraud_detection.ipynb (v1)
│ └── tache3_improved.ipynb (v2)
└── README.md
```
## Competition Context
ANIP — Agence Nationale d'Identification des Personnes
Benin | November 2025
Final presentation: Palais des Congrès, Cotonou
## Tache 1 — Detail complet (V2 → V9)
Le repo ci-dessous contient toutes les iterations de la tac …