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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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Toc

Table of Contents (9) Chapters Close

Preface 1. Getting the Most out of Your Camera System FREE CHAPTER 2. Photographing Nature and Wildlife with an Automated Camera 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

Fingerprint identification, how is it done?


In the previous section, we discussed the use of the first biometric, which is the face of the person trying to log in to the system. However, since we mentioned that using a single biometric is risky, it is better to add secondary biometric checks to the system, like a fingerprint. There are several off-the-shelf fingerprint scanners that are quite cheap and return you a scanned image. However, you will still have to write your own registration software for these scanners, and this can be done with OpenCV. Examples of such fingerprint images can be found below:

Examples of single individual thumbprints from different scanners

This dataset can be downloaded from the FVC2002 competition website released by the University of Bologna. The website (http://bias.csr.unibo.it/fvc2002/databases.asp) contains four databases of fingerprints available for public download in the following format:

  • Four fingerprint capturing devices, DB1 - DB4

  • For each device, the...

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