Update README.md

README.md

@@ -1,26 +1,38 @@
 ---
 license: apache-2.0
 language:
-- en
+  - en
+tags:
+  - finger-vein
+  - biometrics
+  - mobilenet
+  - siamese-network
+  - keras
+  - image-processing
 ---
-# 🩺 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.
+# 🩺 Finger Vein Feature Extractor using MobileNet
+
+This pretrained model is designed for **finger vein recognition**. It uses a **MobileNet-based feature extractor** trained on finger images to extract deep biometric 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.
+- The model first extracts features from finger vein images using **MobileNet**.
+- These features are then used to form **image pairs**.
+- A **deep neural network** (e.g. Siamese) is trained on these pairs to learn a similarity metric.
+- Finally, the system classifies 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
+- 🔐 Biometric authentication systems
+- 🔍 Finger vein matching or verification
+- 🧬 Medical/Forensic identification tasks
 
 ## 🖼️ Input:
-- RGB finger vein image, typically resized to 224x224
+- RGB finger vein image (resized to **224×224**)
+- Normalized to [0, 1]
 
 ## 📤 Output:
-- Feature vector (if using the encoder only)
-- Or: match / no-match (if using full Siamese classification)
+- Feature vector (if using encoder only)
+- Or: **Match / No-match** decision (in Siamese setup)
+
+## 💾 Model Format:
+- `model.keras` — Keras format for MobileNet feature extractor