Recognition technology frontiers

Abstract Rapid improvements in hardware and algorithms are reshaping the technological basis of postal address recognition. An increasingly important theme is automation of the engineering process itself, through trainable classifiers, realistic distortion models, and statistical contextual analysis. Relevant basic research at AT&T Bell Laboratories includes VLSI neural networks, algorithmic pattern recognition, computational linguistics, and artificial intelligence. Interdisciplinary application of these has stimulated improvements in handwritten ZIP code recognition, machine-print address recognition, and address block location.

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