Face Recognition with HaarCascade

HaarCascade     Haar  Cascade is a machine learning object detection algorithm used to identify objects in an image or video and based on the concept of  ​​  features.   It is a machine learning based approach where a cascade function is trained from a lot of positive and negative images.  It is then used to detect objects in other images.   The algorithm has four stages:7 1.      Haar  Feature Selection 2.      Creating    Integral Images 3.      Adaboost  Training 4.      Cascading Classifiers It is well known for being able to detect faces and body parts in an image, but can be trained to identify almost any object.   1.    Haar Feature Selection – First step is to collect the   Haar  Features.  A  Haar ​  feature considers adjacent rectangular regions at a specific location in ...