Recognition of Images

It is one of the most common applications of machine learning.
There are numerous situations in which an object can be classified as a digital image.

The measurements for digital images describe the outputs of each pixel in the image. The intensity of each pixel in a black and white image serves as one measurement. As a result, if a black and white image has N*N pixels, the total number of pixels and thus measurement is N2.

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In the coloured image, each pixel is thought to provide three measurements of the intensities of the three main colour components, namely RGB.

So there are three N2 measurements in the N*N coloured image.

• For face detection, the categories could be face versus no face. In a database of several people, each individual may have their own category.
• We can segment a piece of writing into smaller images, each containing a single character, for character recognition. The 26 letters of the English alphabet, the ten digits, and some special characters could be included in the categories.