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Practical Machine Learning and Image Processing: For Facial Recognition, Object Detection, and Pattern Recognition Using Python
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Practical Machine Learning and Image Processing: For Facial Recognition, Object Detection, and Pattern Recognition Using Python

by Himanshu Singh
February 2019
Intermediate to advanced
177 pages
3h 2m
English
Apress
Content preview from Practical Machine Learning and Image Processing: For Facial Recognition, Object Detection, and Pattern Recognition Using Python
© Himanshu Singh 2019
Himanshu SinghPractical Machine Learning and Image Processinghttps://doi.org/10.1007/978-1-4842-4149-3_6

6. Real-time Use Cases

Himanshu Singh1 
(1)
Allahabad, Uttar Pradesh, India
 
Now that we have looked at the basics and advanced concepts of image processing, it’s time to look at some real-time use cases. In this chapter we look at five different POCs, which can be tweaked based on your own requirements:
  1. 1.

    Finding Palm Lines

     
  2. 2.

    Detecting Faces

     
  3. 3.

    Recognizing Faces

     
  4. 4.

    Tracking Movements

     
  5. 5.

    Detecting Lanes

     

Finding Palm Lines

We will use Python and the OpenCV library to determine the major palm lines present in our palm. First, we need to read the original image:
import cv2
image = cv2.imread("palm.jpg")
cv2.imshow("palm",image) #to view ...
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Publisher Resources

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