A typical goal of image recognition is to detect and identify an object in a digital image. Image recognition is applied in factory automation to monitor product quality; surveillance systems to identify potentially risky activities, such as moving persons or vehicles; security applications to provide biometric identification through fingerprints, iris, or facial features; autonomous vehicles to reconstruct conditions on the road and environment; and so on.
Digital images are not presented in a structured way with attribute-based descriptions; instead, they are encoded as the amount of color in different channels, for instance, black-white and red-green-blue channels. The learning goal is to identify patterns that are associated with a particular object. The traditional approach for image recognition consists of transforming an image into different...
