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OpenCV 3 Blueprints

You're reading from   OpenCV 3 Blueprints Expand your knowledge of computer vision by building amazing projects with OpenCV 3

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Product type Paperback
Published in Nov 2015
Publisher
ISBN-13 9781784399757
Length 382 pages
Edition 1st Edition
Tools
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Authors (3):
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Joseph Howse Joseph Howse
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Joseph Howse
 Puttemans Puttemans
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Puttemans
 Sinha Sinha
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Sinha
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Table of Contents (14) Chapters Close

OpenCV 3 Blueprints
Credits
About the Authors
About the Reviewers
www.PacktPub.com
Preface
1. Getting the Most out of Your Camera System 2. Photographing Nature and Wildlife with an Automated Camera FREE CHAPTER 3. Recognizing Facial Expressions with Machine Learning 4. Panoramic Image Stitching Application Using Android Studio and NDK 5. Generic Object Detection for Industrial Applications 6. Efficient Person Identification Using Biometric Properties 7. Gyroscopic Video Stabilization Index

Combining the techniques to create an efficient people-registration system


The previous sections each discussed a specific biometric property. Now, let's combine all this information to create an efficient identification system. The approach that we will implement follows the structure described in the figure below:

People authentication pipeline

As shown above, the first step is to use a camera interface to check if there actually is a person in front of the camera. This is done by performing face detection on the input image. We also test to see if the other biometric systems are active. This leaves us two checks that need to be performed:

  • Check if the iris scanner is in use. This, of course, depends on the system used. If it depends on the eye retrieved from the face detection, this check should be ignored. If the eye is retrieved using an actual eye scanner, then there should at least be an eye detected to give a positive signal.

  • Check if the fingerprint scanner is active. Do we actually...

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