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Home > Pattern recognition

Pattern recognition (also known as classification or pattern classification) is a field within the area of computer science and can be defined as "the act of taking in raw data and taking an action based on the category of the data" [1]. It uses methods from statistics, machine learning and other areas.

Typical applications are automatic speech recognition, classification of text into several categories (e.g. spam/non-spam email messages), the automatic recognition of handwritten postal codes on postal envelopes, or the automatic recognition of images of human faces. The last three examples form the subtopic image analysis of pattern recognition that deals with digital images as input to pattern recognition systems.

1 Pattern recognition techniques

• Neural Networks
• Hidden Markov Models
• Bayesian networks

2 Application domains

• computer vision
• machine vision
• medical image analysis
• optical character recognition
• credit scoring

3 See also:

• artificial intelligence
• machine learning
• barcodeA barcode (also bar code is a machine-readable representation of information in a visual format on a surface. Originally barcodes stored data in the widths and spacings of printed parallel lines, but today they also come in patterns of dots, concentric ci
• information retrievalInformation retrieval (IR is the art and science of searching for information in documents, searching for documents themselves, searching for metadata which describes documents, or searching within databases, whether relational stand alone databases or hy
• color histogramsIn computer graphics, a color histogram is a representation of an image derived by counting the 'color' of each pixel. The idea was proposed by Michael Swain and Dana Ballard in 1991 and is primarily used in situations where speed of processing is a facto

4 References

1. Richard O. Duda, Peter E. Hart, David G. Stork (2001) Pattern classification (2nd edition), Wiley, New York, BooksEnthsiast.com.
2. J. Schuermann: Pattern Classification: A Unified View of Statistical and Neural Approaches, Wiley&Sons, 1996, BooksEnthsiast.com

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Topics: Pattern Recognition Classification Machine Automatic Learning...

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