Face Recognition System Using Haarcascade and OpenCV

This is a simple face recognition project built with Python and OpenCV. It uses the Haarcascade classifier for face detection and the Local Binary Patterns Histograms (LBPH) recognizer for identifying faces.

---

📁 Project Structure

• create_data.py – Captures and stores 120 face images of a user from different angles using a webcam.
• face_recognize.py – Trains the recognizer on the stored images and performs real-time face recognition.
• haarcascade_frontalface_default.xml – The pre-trained Haarcascade model used for face detection.
• datasets/ – Directory where user face data is stored.

---

🔧 Setup

Requirements

• Python 3.x
• OpenCV (cv2)
• NumPy

Install dependencies:

pip install opencv-python numpy