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Ear recognition system leveraging Android camera and OpenCV for online verification and identification of enrolled subjects.

License: MIT License

Kotlin 0.44% CMake 2.81% C++ 57.18% Makefile 0.09% HTML 0.07% Java 33.19% C 3.48% Objective-C 0.09% TeX 0.36% Jupyter Notebook 2.29%
ear-recognizer android biometrics opencv sapienza-university

ear-recognizer-android's Introduction

Ear-Recognizer-Android

Ear recognition system leveraging Android camera and OpenCV for online verification and identification of enrolled subjects.

Recognition pipeline

(1)(2)(3)(4)(5)(6)
  1. Detect the ear shape and extract the ROI
  2. Increase detected ROI with symmetric padding
  3. Extract ear landmarks
  4. Remove outliers
  5. Estimate the ear orientation
  6. Align the image according to the correct angle and apply the zoom trick
  7. Extract image descriptors and compute similarity scores with gallery templates

Interactive demo

Download the APK file (about 120MB) and install it on your Android device for an interactive demo.

Datasets

External resources

For the ear detection task, we leverage the Haar feature-based cascade classifiers provided by IUSIANI. You may find them publicly available here or here.

ear-recognizer-android's People

Contributors

alessioluciani avatar leonardoemili avatar

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alessioluciani

ear-recognizer-android's Issues

Create Android Studio project and create basic app layout.

  • Create Android Studio project
  • Create a basic layout to allow the user to authenticate through ear recognition, finally show the outcome of user identification.
  • Test the app behavior with multiple users (e.g. new users, enrolled users, users that submit probes with some occlusion or other types of distortions)/

Perform feature extraction (C++):

  • localization
  • cropping
  • scaling/normalization
  • landmark detection
  • rotate the image according to landmarks
  • descriptor extraction
  • export gallery

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