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Creates an OCR model based on support vector machines classifier.
Name | Type | Range | Description | |
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inNu | Real* | 0.0 - 1.0 | Trade-off between training accuracy and number of supported vectors |
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inKernelGamma | Real* | Gamma parameter for RBF kernel | |
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inRegularizationConstant | Real | 0.0 - ![]() |
Preventing overfitting |
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inStopEpsilon | Real | Epsilon for stopping criterion | |
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inUseShrinkingHeuristics | Bool | Heuristics may speed up computations | |
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inNormalizationSize | Size | The character size after normalization | |
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inRandomSeed | Integer* | 0 - +![]() |
Random seed used to train classifier |
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inCharacterFeatures | CharacterFeatures | Character features used to identify characters | |
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outOcrModel | OcrSvmModel | Result OcrSvmModel used to recognize characters |
Applications
Initialization of the OCR training process. Based on Support Vector Machines.
Errors
This filter can throw an exception to report error. Read how to deal with errors in Error Handling.
List of possible exceptions:
Error type | Description |
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DomainError | Invalid normalization size in InitOcr_SVM. |
Complexity Level
This filter is available on Advanced Complexity Level.