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OCR Read Number

Aim

The aim of the program is to recognize characters in an image.

Input

Several images of numbers.

Output

Detected numbers in the image and recognized characters.

Hints

To identify the characters in the image it is recommended to use Optical Character Recognition technique to recognize different characters with Blob Analysis to create various character's models.

Solution (FIS)

In a separate program or in a macrofilter you will have to create an OCR model first. Create new global parameter and name it FileNames of String Array type. The values will be names of consecutive images of characters.
Add LoadImage filter and connect FileNames with inFile.
Add ThresholdToRegion_Dynamic filter and connect outImage with inImage.
Click on ThresholdToRegion_Dynamic filter and make these changes:
- Set inRadiusX to 10.
- Set inMaxRelativeValue to -68.
Add MakeCharacterSamples filter.
- In inCharacters write 0123456789.
- Connect outRegion with inCharacterRegions.
Add TrainOcr_MLP filter. Connect outCharacterSamples with inCharacterSamples. Click on the filter and make these changes in Properties window:
- Set inNormalizationSize.Height to 24.
- Set inRandomSeed to 123456.
- Set inCharacterFeatures.NormalizedPixels to True.
- Set inCharacterFeatures.Convexity to True.
- Set inCharacterFeatures.Circularity to True.
- Set inLearningRate to 0.8.
- Set inMomentum to 0.7.
- Set inIterationCount to 1250.
- Set inCharacterSize.Width to 24.
- Set inCharacterSize.Height to 36.
Add SaveObject filter. Connect outOcrModel with inObject.
Save the model as Font_MLP in inFile. Now you can close your program or macrofilter.
Create the right application and add EnumerateImages filter.
Add ThresholdToRegion_Dynamic filter. Connect outImage with inImage.
Click on ThresholdToRegion_Dynamic filter and make these changes in Properties window (in the lower left corner):
- Set inRadiusX to 10.
- Set inMaxRelativeValue to -30.
Add SplitRegionIntoMultipleCharacters filter. Connect outRegion with inRegion.
Click on SplitRegionIntoMultipleCharacters filter. Set inCharacterWidth to 24.
Add RecognizeCharacters filter.
- Connect outRegions with inCharacterRegions.
- Click on the filter and set inCharacterSize.Width to 24 and set inCharacterSize.Height to 36.
- In inOcrModel choose the earlier-created model Font_MLP.

Macrofilter Main

Macrofilter TrainCharacters

Used Filters

Icon	Name	Description
	TrainOcr_MLP	Trains an OCR multilayer perceptron classifier.
	EnumerateImages	Emulates image acquisition with images stored on disk.
	ThresholdToRegion_Dynamic	Useful in case of uneven illumination.
	SplitRegionIntoMultipleCharacters	Text segmentation when the number of characters is unknown, usually followed by a RecognizeCharacters filter.
	MakeCharacterSamples	Creates training font samples from the provided regions.
	RecognizeCharacters	Usually the last, yet the most important step of optical character recognition or verification.
	LoadImage	Loads a single image from a file.
	SaveObject	Saves an object to a file.