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KNN classification of NAEs using interpupillary distance and eyeshine colour/chromacity

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NAE KNN CLassifier

Extracts biofingerprints - interpupillary distance and colour/chromacity from NAE images. Signals classified using KNN classification.

Requirements

  • python3
  • pip
  • virtualenv

Test data

Available at https://goo.gl/129SML

Usage

  1. Setup a virtual environment using the command virtualenv venv
  2. Activate the virtual environment using source venv/bin/activate
  3. Install package dependencies using pip install -r requirements.txt
  4. Execute using the following

Extracting interpupillary distance and colour/chromacity

`python3 main.py -i path-to-image -c class
	Test files: raw_images

Data is appended to distcolour.csv

Splitting data into training and test data

`python3 split.py`

KNN Classification

`python3 knn.py`

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KNN classification of NAEs using interpupillary distance and eyeshine colour/chromacity

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