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High - Level Overview

  • Face recognition can work as a means of access control to ensure that only authorized individuals to get into facilities like labs, boardrooms, bank vaults, training centers for athletes and other sensitive locations.

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  • With our system you can test a input image to see if it matches with a large database in our system and if its a match it provides us with a best matched face of the individual and it grants access to select individual in the database

How it Works: 

Algorithm Steps:

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  • Use Viola-Jones Algorithm to identify faces on the images.​​​​​

    • Take images and apply gray scale filter for easier manipulation.

    • Haar basis are used within the Viola-Jones Algorithm to identify face​s.

  • Hog feature detector that generates a vector.

  • Vector is used in the comparator to determine if input image is in the database.

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In Class DSP Tools:

  1. Haar Features (Haar Basis from class)

  2. Image Processing (GrayScale, Change Background, Cropping, Resize)

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Out of Class DSP Tools:

  1. Hog Features

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*Click on underline words to learn more.

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