| 摘要 |
PURPOSE: To perform character recognition in which the distributed shape of the value in each dimension of the feature variable of learning data is considered. CONSTITUTION: An unknown input value Ui from a feature variable sampling means 10 is supplied to a difference calculation part 21 in an evaluation value calculation means 20. While, a dictionary value Si at every dimension from a dictionary vector storage means 32 is inputted to the difference calculation part 21, and a differential value (Si-Ui) is calculated, and the differential value (Si-Ui) is supplied to a size comparison means 22. The size comparison means 22 compares the differential value (Si-Ui) with the constant timesαδof a standard deviation value from a standard deviation vector storage means 33. The number of dimensions in which the absolute value of the differential value is larger than the constant times value is counted from a comparison result, and an evaluation value is calculated based on a count value. A character recognizing means 40 receives the evaluation value, and recognizes what character unknown input X is.
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