FEATURE VALUE DIMENSION COMPRESSION EQUIPMENT, MATCHING DEVICE, PROGRAM AND STORAGE MEDIUM
PROBLEM TO BE SOLVED: To enhance the capability of recognizing low-quality data while holding the recognition capability of high-quality data and without adverse effects to the high-quality data. SOLUTION: A character recognition device executes pattern matching by performing dimension compression o...
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Zusammenfassung: | PROBLEM TO BE SOLVED: To enhance the capability of recognizing low-quality data while holding the recognition capability of high-quality data and without adverse effects to the high-quality data. SOLUTION: A character recognition device executes pattern matching by performing dimension compression of feature values which uses canonical discriminant analysis utilizing in-class variance and interclass variance. A data classification part 21, a high-quality storage part 22 and a low-quality storage part 23 store learning data after classifying the data into a high-quality set which does not allow an error and a low-quality set which allows an error to some extent because its quality is low. An interclass variance calculation part 26 calculates an interclass variance matrix by using the high-quality set and without using the low-quality set. An in-class variance calculation part 24 calculates an in-class variance matrix by using the low-quality set and without using the high-quality set. COPYRIGHT: (C)2005,JPO&NCIPI |
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