Build a human-computer interaction system. Face detection is often the most essential task for creating systems that interact with humans based on face identification, tracking expression. Statistical pattern recognition plays an important role in face recognition, since the system must be able to statistically determine if it knows this face in spite of noise such as shadows, backgrounds, poses and lighting issues. Statistical pattern recognition allows you to analyze large sets of data for facial similarities, controlling for external noise.
Mine data of moving objects to optimize sales. With computing power growing, technology now provides the world with plentiful data on moving objects. By analyzing this human movement data by means of statistical pattern recognition, you can predict the movement of groups of consumers and direct products and services to these potential customers at the appropriate time. In this sense, statistical pattern recognition can give you the opportunity to optimize your sales and marketing strategies based on human movement patterns.
Identify authorship of hand-written documents. In many governmental and commercial sections of society, written documents play an important role. For many reasons, including issues of fraud and authorization, it is important for governments and businesses to identify hand-written statements, orders and documents. While even the trained human eye cannot always accurately identify a person's handwriting, statistical pattern recognition can easily and accurately identify a person's handwriting no matter what language. Simply by scanning a document and running the image through a pattern recognition program, you can know the authenticity of that document regardless of external factors such as ink type, smudging or language.