The problem of pattern recognition usually denotes a discrimination or classification of a set of processes or events. The set of processes or events to be classified could be a set of physical objects or a set of mental states. The number of pattern classes is often determined by the particular application in mind. For example, consider the problem of English character recognition; we should have a problem of 26 classes. On the other hand, if we are interested in discriminating English characters from Russian characters, we have only a two-class problem. In some problems, the exact number of classes may not be known initially; and it may have to be determined from the observations of many representative patterns, In this case, we would like to detect the possibility of having new classes of patterns as we observe more and more patterns. Human beings perform the task of pattern recognition in almost every instant of their working lives. Recently, scientists and engineers started to use machines for pattern recognition.
KeywordsDiscriminant Function Input Pattern Decision Boundary Feature Measurement Linear Classifier
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