Abstract :
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.
Keywords :
Computer simulation, handprinted numerals, non-linear decision-making, n-tuple method, pattern recognition, statistical approximation.; Cities and towns; Costs; Decision making; Error analysis; Humans; Ink; Noise reduction; Pattern recognition; Standardization; Writing; Computer simulation, handprinted numerals, non-linear decision-making, n-tuple method, pattern recognition, statistical approximation.;
