Pattern Recognition

Pattern Recognition is the process of processing and analyzing various forms of information (numerical, textual and logical) that represent things or phenomena in order to describe, identify, classify and explain them.With the development of computer technology, it is possible for humans to study complex information processing processes. An important form of information processing is the recognition of the environment and objects by living organisms.

Pattern recognition uses machine learning algorithms to automatically identify patterns and regularities in data. This data can be anything from text and images to sound or other definable qualities. Pattern recognition systems can quickly and accurately identify familiar patterns. They can also recognize and classify unfamiliar objects, identify shapes and objects from different angles, and recognize patterns and objects even when they are partially occluded. 

Pattern recognition has many applications.These include image processing, voice and fingerprint recognition, aerial photo interpretation, optical character recognition in scanned documents such as contracts and photos, and even medical imaging and diagnostics.Pattern recognition is also the technique behind data analysis. For example, it can be used to predict stock market outcomes.