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FIS.TrainOcr_MLP Method

Trains an OCR multilayer perceptron classifier.

Namespace:FilNet
Assembly:FIL.NET.dll

Syntax

public static void TrainOcr_MLP
(
	IList<FilNet.CharacterSample> inCharacterSamples,
	FilNet.Size inNormalizationSize,
	NullableRef<IList<int>> inHiddenLayerSizes,
	int? inRandomSeed,
	FilNet.CharacterFeatures inCharacterFeatures,
	float inLearningRate,
	float inMomentum,
	int inIterationCount,
	FilNet.Size? inCharacterSize,
	FilNet.OcrModel outOcrModel,
	out float outTrainingAccuracy,
	FilNet.Profile diagError,
	IList<FilNet.Image> diagNormalizedCharacters
)

Parameters

Name Type Range Default Description
inCharacterSamplesSystem.Collections.Generic.IList<FilNet.CharacterSample>Training font created from sample regions.
inNormalizationSizeFilNet.Size(Width: 16, Height: 16)The character size after normalization. Default value: (Width: 16, Height: 16).
inHiddenLayerSizesFilNet.NullableRef<System.Collections.Generic.IList<int>>Internal structure of neuron layers used in classifier. Default value: ftl::NIL.
inRandomSeedint?<0, +INF>Random seed used by MLP classifier. Default value: ftl::NIL.
inCharacterFeaturesFilNet.CharacterFeatures(Pixels: True)Character features used to distinguish characters from each other. Default value: (Pixels: True).
inLearningRatefloat<0.01f, 1.0f>0.6fSuppression level of changes during learning process. Default value: 0.6f.
inMomentumfloat<0.0f, 1.0f>0.75fValue of classifier learning momentum. Default value: 0.75f.
inIterationCountint<1, +INF>100Learning iteration count. Default value: 100.
inCharacterSizeFilNet.Size?Size of fixed width font. Default value: ftl::NIL.
outOcrModelFilNet.OcrModelTrained OcrMlpModel used to recognize characters.
outTrainingAccuracyfloatThe overall training score.
diagErrorFilNet.ProfileChanges of mean error level progress during learning process.
diagNormalizedCharactersSystem.Collections.Generic.IList<FilNet.Image>Images of normalized characters used to train classifier.

Function Overrides

See also