How image recognition works
Image recognition works on the principal of image classification, where classification is pattern matching within the data. Images are data in the form of two-dimensional matrices.
There are four major steps in the image recognition process. The first is gathering data, the second is organizing data, the third is building a predictive model, and the last one is recognizing image.
Gathering data
When the human eye sees any image, it perceives it as signals, which then fall on the visual cortex of the brain through the eyes. The visual cortex then processes these signals, which results in the experience of the scene. These scenes are then compared with the concepts and objects stored in one's memory and interpreted accordingly. Similarly, when an image in digital form is fed to the computer, it perceives the image as either a raster or vector image.
Raster images (graphics) are bitmaps. A bitmap is a grid of individual pixels that together make up an image. Each pixel...
