Image recognition is the process of identifying and detecting an object or a feature in a digital image or video. This concept is used in many applications like systems for factory automation, toll booth monitoring, and security surveillance. Typical image recognition algorithms include:
Image Recognition Using Machine Learning
A machine learning approach to image recognition involves identifying and extracting key features from images and using them as input to a machine learning model.
An example of this is classifying digits using HOG features and an SVM classifier.
Image Recognition Using Deep Learning
A deep learning approach to image recognition may involve the use of a convolutional neural network to automatically learn relevant features from sample images and automatically identify those features in new images.