What Is Pattern Recognition?
Pattern recognition is a data analysis method that uses machine learning algorithms to automatically recognize patterns and regularities in data. This data can be anything from text and images to sounds or other definable qualities. Pattern recognition systems can recognize familiar patterns quickly and accurately. They can also recognize and classify unfamiliar objects, recognize shapes and objects from different angles, and identify patterns and objects even if they’re partially obscured.
Why Pattern Recognition?
Pattern recognition has a variety of applications, including image processing, speech and fingerprint recognition, aerial photo interpretation, optical character recognition in scanned documents such as contracts and photographs, and even medical imaging and diagnosis. Pattern recognition is also the technology behind data analytics. For example, the technique can be used to predict stock market outcomes.