Publication | Closed Access
Experiments with the n-tuple Method of Pattern Recognition
59
Citations
8
References
1969
Year
Machine VisionImage AnalysisData ScienceMachine LearningPattern RecognitionEngineeringBiometricsText RecognitionKnowledge DiscoveryOptical Character RecognitionComputer ScienceStatistical Pattern RecognitionCharacter RecognitionN-tuple MethodMaximum LikelihoodComputer VisionPattern Recognition Application
The n-tuple method of pattern recognition has been simulated on a somewhat larger and more comprehensive scale than previously reported. The nonweighted version has been found to work better than the maximum likelihood weighted version, and to achieve about 93 percent successful recognition of unconstrained hand-printed numerals, but at the cost of about 42 million bits of storage.
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