SketchMatch-Forensic Face Sketch Construction and Recognition

(My B.E. Final Year Project)

📁 SOURCE CODE

Download Source Code

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🛠️ How to Run the Project

The project includes two major modules:

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🔹 Part 1: Face Sketch Construction (SketchMatch v2)

This module allows users to create composite face sketches using a drag-and-drop interface built in JavaFX.

Requirements:

• Java JDK 8: Download
• IntelliJ IDEA: Download
• JavaFX SDK: Download
• JavaFX Scene Builder: Download
• DB Browser for SQLite: Download

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Setup in IntelliJ IDEA:

1. Clone the Repository:

   • Open IntelliJ IDEA and select "Get from Version Control" → Paste the GitHub link.

2. Configure JDK and JavaFX:

   • File → Project Structure → Project SDK → Add Java 8.
   • Under "Libraries", click "+" → Java → Add JavaFX SDK’s /lib folder.

3. Add VM Options for JavaFX:
   Go to:

   Run > Edit Configurations > VM options:
   

   Add:

   --module-path "path-to-javafx-sdk/lib" --add-modules javafx.controls,javafx.fxml
   

4. Set up Scene Builder:

   • Install Scene Builder and link .fxml files to open in it (Right-click → Open in Scene Builder).

5. Import External JARs:

   • File → Project Structure → Modules → Dependencies → Click + → JARs or directories → Select all .jar files from SketchMatch v2/lib.

6. Configure the SQLite Database:

   • Use DB Browser to open login.sqlite inside the project directory.
   • Add your user credentials to enable OTP-based login.

7. Update Email Credentials:

   • Open Login_screenController.java → Line 144.
   • Enter your Gmail credentials to send OTP.
   • Ensure "Less Secure Apps" is enabled in your Gmail settings.

8. Adjust File Paths (Optional):

   • In dashboard_controller.java, Line 508, update any hardcoded file paths as per your system setup.

9. Run the Application:

   • Click the green "Run" button or press Shift + F10.
   • Log in using email + OTP, then navigate to “Create Sketch”.

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🔹 Part 2: Face Sketch Recognition (SketchMatch_FaceMatch)

This module performs facial matching against a dataset using AWS Rekognition.

Requirements:

• AWS Free Tier account
• AWS CLI: Install

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Setup Instructions:

1. Create AWS Account:

   • Sign up at AWS Free Tier and activate your account.

2. Create IAM User with Programmatic Access:

   • Give full access to Amazon S3 and Rekognition.

3. Configure AWS CLI:

   • Run aws configure in terminal and enter:
     • Access Key
     • Secret Key
     • Region (e.g., us-east-1)

4. Setup AWS S3 & Rekognition:

   • Create an S3 bucket.
   • Open and run collection_create.java in IntelliJ to create a Rekognition collection.
   • Use collection_add_image.java to upload and index reference images.

5. Match Sketches:

   • Open and run collection_search_face.java to match the sketches drawn in Part 1 with the database.

📄 DESCRIPTION / ABSTRACT

In forensic science, hand-drawn face sketches are still limited and time-consuming when integrated with modern technologies used for criminal recognition and identification.
This project presents a standalone application that enables users to:

• Create composite face sketches of suspects using a drag-and-drop interface, eliminating the need for professional forensic artists.
• Automatically match the created sketches with a police face database using deep learning algorithms and cloud infrastructure for fast and efficient identification.

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📚 PUBLISHED TECHNICAL PAPER

Read the official technical paper published in IJIT Journal:
👉 Read the Technical Paper

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