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A human brain recognises letters by their constituent features (sub-letter parts). It is modelized by a pandemonium model where printed information is extracted locally then globally. In the letter recognition literature, this type of feature-based hierarchical model competes with template matching theories (with an advantage to the pandemonium-like models ...


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The cumulative number of versions of a single character that the human brain can recognize is nearly infinite, whereas computers have to be programmed to recognize every single variation. Humans also recognize 'context' in a word, whereas a computer does not recognize context because it does not have an intuitive understanding of language. From wikipedia: ...



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