https://github.com/saidhanush27/stegoface
StegoFace is a deep learning-based steganography model designed to enhance ID image security by embedding hidden authentication data within facial images. The system ensures tamper detection while preserving image quality and integrity, making it a reliable solution for photo substitution attack prevention.
https://github.com/saidhanush27/stegoface
authentication deep-learning image-processing machinelearning-python neuralnetworks steganography-encoding
Last synced: 7 months ago
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StegoFace is a deep learning-based steganography model designed to enhance ID image security by embedding hidden authentication data within facial images. The system ensures tamper detection while preserving image quality and integrity, making it a reliable solution for photo substitution attack prevention.
- Host: GitHub
- URL: https://github.com/saidhanush27/stegoface
- Owner: saidhanush27
- Created: 2025-03-22T10:32:55.000Z (7 months ago)
- Default Branch: main
- Last Pushed: 2025-03-22T10:49:54.000Z (7 months ago)
- Last Synced: 2025-03-22T11:30:06.971Z (7 months ago)
- Topics: authentication, deep-learning, image-processing, machinelearning-python, neuralnetworks, steganography-encoding
- Language: Python
- Homepage:
- Size: 0 Bytes
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
# StegoFace: Deep Learning-Based ID Image Security
## 📌 Project Description
StegoFace is a deep learning-based **steganography model** designed to enhance **ID image security** by embedding **hidden authentication data** within facial images. The system ensures **tamper detection** while preserving **image quality and integrity**, making it a reliable solution for **photo substitution attack prevention**.
## 🔥 Features
- 🛡️ **Deep CNN-Based Steganography** for secure message embedding.
- 🔍 **Binary Error-Correcting Codes (BECC)** for robustness against noise and compression.
- 🔄 **Autoencoder-Decoder Framework** for high-precision encoding and decoding.
- 🎯 **Recurrent Proposal Network (RPN)** for accurate facial region detection.
- ⚡ **Real-time verification** for ID security applications.
## 🛠️ Technologies Used
- 🐍 **Python**
- 🤖 **TensorFlow/Keras** (Deep Learning)
- 🖼️ **OpenCV** (Image Processing)
- 📊 **NumPy & Pandas** (Data Handling)
- 📈 **Matplotlib & Seaborn** (Visualization)
## 📂 Project Structure
📦 StegoFace
┣ 📂 dataset
┣ 📂 models
┣ 📂 preprocessing
┣ 📂 encoder_decoder
┣ 📂 utilss
┣ 📜 requirements.txt
┣ 📜 README.md
┗ 📜 main.py
## 🚀 Installation & Usage
**1. Clone the Repository**
```bash
git clone https://github.com/yourusername/StegoFace.git
cd StegoFace
```
2. Install Dependencies
Ensure you have all necessary libraries installed by running:
```bash
pip install -r requirements.txt
```
3. Run the Program
Execute the main script to start the system:
```bash
python main.py
```
## 📌 How It Works
Preprocessing Module: Enhances image quality and extracts facial features.
Encoding Phase: The autoencoder securely embeds authentication data into ID images.
Decoding Phase: The auto decoder retrieves hidden messages for verification.
Verification: If the extracted message is intact, the ID is considered valid; otherwise, tampering is detected.
## 👨💻 Contributors
Sai Dhanush V.R
M. Mukunda
Surya J
## 📜 License
This project is licensed under the MIT License.
## 🏷️ Tags
#DeepLearning #Steganography #IDSecurity #ImageProcessing #NeuralNetworks
#Autoencoder #BinaryErrorCorrection #FaceRecognition #DocumentSecurity #Python
#MachineLearning #AI #ComputerVision #SecureAuthentication #DataEmbedding