Face and ID Card Matching Using Python

This implementation demonstrates how to match a live face image with identity data from an ID card using Python. The workflow involves capturing facial data, extracting ID details, performing facial recognition, and validating identity consistency.

Workflow Overview

Step	Description
1	Capture facial image via webcam
2	Extract personal information from ID card
3	Generate facial embedding from captured image
4	Compare facial features with stored ID data
5	Display verification outcome

Implementation

Step 1: Capture Facial Image

Use OpenCV to access the camera and save a frame as a image file.

import cv2

# Initialize camera
video_capture = cv2.VideoCapture(0)

# Capture frame
status, frame = video_capture.read()
if status:
    cv2.imwrite("captured_face.png", frame)

# Release resources
video_capture.release()

Step 2: Extract ID Card Data

Leverage a dedicated library to parse text and metadata from a physical ID card.

from id_reader import extract_id_data

# Read ID card content
id_data = extract_id_data("id_card.jpg")

Step 3: Generate Facial Embedding

Apply a pre-trained model to convert the face image into a numerical vector representation.

import face_recognition

# Load and encode face
face_image = face_recognition.load_image_file("captured_face.png")
face_vector = face_recognition.face_encodings(face_image)[0]

Step 4: Perform Identity Verificasion

Compare the generated face vector against the reference data extracted from the ID.

import numpy as np

# Prepare known face signature
reference_encoding = np.array(id_data["face_signature"])

# Evaluate similarity
match_results = face_recognition.compare_faces([face_vector], reference_encoding, tolerance=0.6)

Step 5: Output Verification Result

Print whether the identity check passed or failed based on the comparison.

if match_results[0]:
    print("Identity verified successfully.")
else:
    print("Verification failed: mismatch detected.")

The integration of real-time imaging, biometric analysis, and document parsing enables robust identity confirmation in automated systems.