Abstract
Humans and other animals survive in their complex and changing environments by using sophisticated sensory systems to detect, classify, and interpret patterns of input stimulation. For over two decades workers i i artificial intelligence have been trying to approximate mechanically the performance of that ultimate in biological pattern recognizers, human vision. (We will not consider equally important but less numerous efforts toward auditory pattern processing, such as mechanical speech recognition.) Despite this tremendous research investment computers still cannot “see” even a fraction as well as people. In this chapter we look at a few selected pieces of pattern recognition research in order to get an idea of what has been done and how much remains to be accomplished.
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© 1976 Springer-Verlag New York Inc.
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Sampson, J.R. (1976). Pattern recognition. In: Adaptive Information Processing. Texts and Monographs in Computer Science. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-85501-6_12
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DOI: https://doi.org/10.1007/978-3-642-85501-6_12
Publisher Name: Springer, Berlin, Heidelberg
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