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INKuisitor

Image processing and ML based, forensic offline signature verification Web Application

Abstract :

Biometrics (or biometric authentication) refers to the method of identification of humans by their characteristics or traits. Biometrics is employed in computing as a sort of identification and access control which is one among the foremost secure methods to ensure human’s privacy. The application uses a Convolution Neural Network (CNN) for distinguishing between forged and genuine signatures through a Siamese Neural Network. With an input of three signature images to create a new signature profile , store in database for later verification requests and a single input signature image used for verification of person’s identity.

Available Scripts

In the project directory, you can run:

npm install

Install dependencies (Important Node Modules to start the project)

npm start

Runs the app in the development mode.
Open http://localhost:3000 to view it in the browser.

Links :

INKuisitor's DEMO

INKuisitor's Documentation

INKuisitor's Presentation

INKuisitor's Backend

INKuisitor's Machine Learning Model

To-Do List:

  • implement UI and Layout
  • Divide application into pages
  • Enable routing (connect react router).
  • integrate with Backend server

  • Verify Page:

  • divide verify page into components
  • implement verify page form component
  • implement dynamic-content dropdown list(using React Select)
  • implement signature pad to allow user to sign on the go (using mouse cursor or touch pen)
  • implement uploading a file button (allow user to upload an already existing signature image on hard disk)
  • implement option selection (using React Select) to allow user to chose between signing either on signature pad or uploading a signature image
  • implement dynamic reactive component , changes upon getting response from server from form component to gauge component
  • implement gauge to show the percentage of the similarity between the provided signature and the stored on database one , and showing wether the signature is forged or geniune based on a pre-defined threshold (React-gauge)
  • handle side effects , fetch the profiles array from the server
  • handle sending POST request to server from verify component , and taking response put inside the gauge (percentage of similarity)
  • Verify Page Block Diagram : INK Verify(ALL) Flowchart

  • Upload Page:

  • divide upload page into compoennt
  • implement upload page's form component , allowing user to interact with a form to add a new client signature profile, same as the previous form.
  • implement dynamic reactive component , changes upon getting response from the the server that account is successfully created (react-success-indicator) , changing on the UI from form componet to the success indicator message
  • handle sending a mulitpart POST request to the server ,contains name of the client profile and attached a FileList object , taking response to indicate successful creation of a new profile
  • Upload Page Block Diagram : Add New Signature Profile Flowchart

  • Others:

  • implement Home page ,divide it into components , write a short brief about the application
  • implement other pages in the application , about and legal
  • Enhance Styling of the Application