Parallel, multi-unit, adaptive, nonlinear pattern class separato

Image analysis – Histogram processing – For setting a threshold

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382 36, G06K 900

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active

050540939

ABSTRACT:
A system for separating and identifying classes of patterns or events which are not necessarily linearly separable. During a training process of the system, new prototypes are created when prior stored prototypes fail to properly classify an input pattern, and previously stored prototypes are modified when an input pattern falls within the sphere of influence of a prototype associated with a different class than the input pattern.

REFERENCES:
patent: 3333248 (1967-07-01), Greenberg et al.
patent: 3601802 (1971-08-01), Nakagome et al.
patent: 4030068 (1977-06-01), Banz
patent: 4451929 (1984-05-01), Yoshida
patent: 4479241 (1984-10-01), Buckley
patent: 4503557 (1985-03-01), Maeda
patent: 4566123 (1986-01-01), Yoshida
B. G. Batchelor: "Practical Approach to Pattern Classification", Plenum Press, London and New York; (1974).
B. G. Batchelor: "Pattern Recognition, Ideas in Practice", Plenum Press, London and New York; (1978).
K. Udagawa et al: "A Parallel Two-Stage Decision Method for Statistical Character Recognition . . . ", Electronics and Communications in Japan (1965).
J. Schurmann, "Zur Zeichen und Worterkennung beim Automatischen Anschriftenlesen", Wissenschaftlichl. Berichte, vol. 52, No. 1/2 (1979).

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