sondosaabed/irisrecognizer

This is an Iris Recognition mobile app. That used a deep learning model infernce to do the authentication based on the eyes Iris.

IrisRecognizer

This is a simple mobile application used to show the functionality of an exported deep learning model. It's main functionality is to let users do the enrollment part and let them also do the authentication part.

To see the model infernced in the code, refer to this repository: https://github.com/sondosaabed/Iris-of-eyes-recognition/tree/main

Features:

An android app was developed that provides the following functionalities:

Requiremnts

• The project contains the following activities:

  • Enrollment Activity: Users are able to to register to the biometrical authentication system.
  • Authentication Activity: Provides authentication Functionality doing inferencing on the image.
  • Introducing activity Activity: let's the user chose if tehy want to broswe movies or books.
    • Getting Started: If (is first time) and redirects to create account.
    • Welcome Back: if the not first time is set then the user is welcomed back.

• The project have Centralized and coceptual design styles (light and dark themes), that are related to the concept (Iris eye recognition)

    #F6F5F4 White
  	#000000 Black
    #0A617D Bluish

Additional Features

(UI)

Getting Started	Welcome Back	Authentication	Enrollment	Answer 1 Screen	Answer 2 Screen

irisrecognizer's Issues

Image Processing for recognition

• Perform image processing (prepare for infernece)

Model Inference

• Do inference in preprocessed image
• Return the answer with the confidence level and label (if authorized).

Handle Camera and Gallary

• User permissions
• Get an image by camera and pass it to the next activity (answer activity)
• For the gallery select images and ask for an email to be sent accept or overrule enrollment