ArUco-Based Person Identification System

This project automatically:

1. Reads person IDs from the bottom of photos using OCR.
2. Renames images using the detected ID.
3. Generates unique ArUco markers for each person.
4. Creates a mapping between ArUco IDs and Person IDs.
5. Scans ArUco markers using a webcam and identifies the corresponding person.

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Prerequisites

Python

Python 3.9+ is recommended.

Verify installation:

python --version

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Install Dependencies

1. Create Virtual Environment (Recommended)

Windows

python -m venv venv
venv\Scripts\activate

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2. Install Python Packages

pip install opencv-contrib-python
pip install pytesseract
pip install numpy
pip install pandas

Or install everything at once:

pip install opencv-contrib-python pytesseract numpy pandas

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Install Tesseract OCR

This project uses Tesseract OCR to read IDs from images.

Windows

Download and install:

https://github.com/UB-Mannheim/tesseract/wiki

After installation, update the path inside:

pytesseract.pytesseract.tesseract_cmd = \
r"C:\Program Files\Tesseract-OCR\tesseract.exe"

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Workflow

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Step 1: Add Photos

Place all photos inside:

photos/

Example:

photos/
├── img1.jpg
├── img2.jpg
├── img3.jpg

The person's ID should be visible near the bottom of each image.

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Step 2: Rename Photos Using OCR

Run:

python index.py

The script:

• Reads the bottom section of each image
• Extracts the ID using OCR
• Renames the image using the detected ID
• Stores the result in:

renamed_photos/

Example:

Before:

img1.jpg
img2.jpg

After:

22011001.jpg
22011002.jpg

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Step 3: Generate ArUco Markers

Run:

python marker_generator.py

The script:

• Reads all files in:

renamed_photos/

• Creates a unique ArUco marker for each person
• Saves markers in:

aruco_markers/

• Creates:

marker_mapping.csv

Example:

marker_id,person_id
0,22011001
1,22011002
2,22011003

Generated markers:

aruco_markers/
├── 22011001_aruco.png
├── 22011002_aruco.png
├── 22011003_aruco.png

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Step 4: Print or Display Markers

You can:

• Print markers on paper
• Display them on phones
• Attach them to ID cards

Each marker uniquely identifies a person.

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Step 5: Scan ArUco Markers

Run:

python scanenr.py

The script:

• Opens the webcam
• Detects ArUco markers
• Looks up the marker in:

marker_mapping.csv

• Displays the corresponding Person ID

Example:

Detected Person ID: 22011001

Press:

ESC

to exit.

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Example End-to-End Flow

Original Photo
      │
      ▼
OCR Reads ID
      │
      ▼
Photo Renamed
      │
      ▼
Generate ArUco Marker
      │
      ▼
Save Mapping CSV
      │
      ▼
Print Marker
      │
      ▼
Scan Marker
      │
      ▼
Retrieve Person ID