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fingerprint-matching

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This project presents a fingerprint matching system utilizing deep learning. It features multiple models, including VGG-based, SENet, CBAM, Self-Attention, and Dual-Attention architectures. Pre-trained MobileNet models with Self-Attention and SENet are also included. A web application allows for easy demonstration of the model's capabilities.

  • Updated May 24, 2025
  • Python

Contactless Fingerprint Authentication System for UIDAI SITAA Challenge. Implements Quality Assessment (Track A), Deep Learning Matching (Track C), and Liveness Detection (Track D). Built with TensorFlow, FastAPI, React Native. Production-ready APIs deployed on GCP.

  • Updated Jan 31, 2026

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