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README.md

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-license: apache-2.0
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+---
+license: apache-2.0
+language:
+- en
+---
+# 🩺 Finger Vein Feature Extractor using MobileNet + Siamese Network
+
+This pretrained model is designed for **finger vein recognition**. It uses a **MobileNet-based feature extractor** trained on finger images to extract deep features.
+
+## 🔧 How It Works:
+- The model first extracts features from input finger vein images using **MobileNet**.
+- Then, these features are used to form **image pairs**.
+- A **Siamese Network** is trained on these pairs to learn a similarity metric.
+- Finally, the system can classify whether two finger vein images belong to the same person or not.
+
+## 📦 Use Cases:
+- Biometric authentication
+- Finger vein matching or verification
+- Medical/Forensic identification tasks
+
+## 🖼️ Input:
+- RGB finger vein image, typically resized to 224x224
+
+## 📤 Output:
+- Feature vector (if using the encoder only)
+- Or: match / no-match (if using full Siamese classification)