Image analysis – Learning systems – Trainable classifiers or pattern recognizers
Patent
1994-09-06
1996-03-26
Boudreau, Leo
Image analysis
Learning systems
Trainable classifiers or pattern recognizers
382116, 382187, 382228, 381 43, G06K 900
Patent
active
055027741
ABSTRACT:
A general approach is provided for the combined use of several sources of information in the automatic recognition of a consistent message. For each message unit (e.g., word) the total likelihood score is assumed to be the weighted sum of the likelihood scores resulting from the separate evaluation of each information source. Emphasis is placed on the estimation of weighing factors used in forming this total likelihood. This method can be applied, for example, to the decoding of a consistent message using both handwriting and speech recognition. The present invention includes three procedures which provide the optimal weighing coefficients.
REFERENCES:
patent: Re31692 (1984-10-01), Tyhurski et al.
patent: 3192321 (1965-06-01), Nassimbene
patent: 4348553 (1982-09-01), Baker et al.
patent: 4481593 (1984-11-01), Bahler
patent: 4731857 (1988-03-01), Tappert
patent: 4754489 (1988-06-01), Bokser
patent: 4829577 (1989-05-01), Kuroda et al.
patent: 4876731 (1989-10-01), Loris et al.
patent: 4975960 (1990-12-01), Petajan
patent: 4993068 (1991-02-01), Piosenka et al.
patent: 5159644 (1992-10-01), Martin et al.
patent: 5212821 (1993-05-01), Gorin et al.
Bellegarda Jerome R.
Kanevsky Dimitri
Anderson David R.
Boudreau Leo
International Business Machines - Corporation
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