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OCR Read Number (SVM)

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 Region Morphology to create various character's models. In this variant we use the SVM method.

Solution (FIS)

First of all you have to create an OCR model. You can do it in a separate macrofilter or a separate program, so make a new one.
Add LoadImage filter.
Create new global parameter and name it FileNames of String Array type. The values will be names of consecutive images of characters.
Connect FileNames with inFile.
Add ThresholdToRegion_Dynamic filter and:
- Connect outImage with inImage.
- Set inRadiusX to 10.
- Set inMaxRelativeValue to -68.
Create a new macrofilter and name it MakeCharacterVariations. Connect outRegion to it and name the input inCharacters.
Get inside and add DilateRegion filter. Set inKernel to Ellipse.
Connect inCharacters with inRegion.
Add ErodeRegion filter. Connect outRegion with inRegion.
Add JoinArrays filter. Connect inCharacters, outRegion and outRegion to it.
Connect outJoinedArray with macrofilter's output and name it outCharacters.
Leave the macrofilter and add MakeCharacterSamples filter. Connect outCharacters macrofilter's output with inCharacterRegions.
Set inCharacters to 012345678901234567890123456789.
Add TrainOcr_SVM filter.
- Connect outCharacterSamples with inCharacterSamples.
- Set inNormalizationSize.Height to 24.
- Set inRegularizationConstant to 0.1.
- Set inUseShrinkingHeuristics to False.
- Set inCharacterSize.Width to 24 and inCharacterSize.Height to 36.
- Set inRandomSeed to 12345.
- Set inCharacterFeatures.NormalizedPixels to True.
- Set inCharacterFeatures.Orientation to True.
- Set inCharacterFeatures.HorizontalProject to True.
Add SaveObject and connect outOcrModel with inObject. Set inFile to Font_SVM.fidata.
Create the right application and add EnumerateImages filter.
Add ThresholdToRegion_Dynamic filter and connect outImage with inImage.
Set inRadiusX to 10 and set inMaxRelativeValue to -30.
Add SplitRegionIntoMultipleCharacters filter.
- Connect outRegion with inRegion.
- Set inCharacterWidth to 24.
Add RecognizeCharacters filter.
- Connect outRegions with inCharacterRegions.
- Connect your earlier created SVM model to inOcrModel.
- Set inCharacterSize.Width to 24 and inCharacterSize.Height to 36.

Macrofilter Main

Macrofilter MakeCharacterVariations

Macrofilter TrainCharacters

Used Filters

Icon	Name	Description
	EnumerateImages	Emulates image acquisition with images stored on disk.
	JoinArrays	Concatenates the input arrays one after another.
	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.
	TrainOcr_SVM	Trains an OCR support vector machines classifier.
	RecognizeCharacters	Usually the last, yet the most important step of optical character recognition or verification.
	ErodeRegion	Making the region thinner or removing small parts.
	DilateRegion	Making the region thicker or filling-in small holes within it.
	LoadImage	Loads a single image from a file.
	SaveObject	Saves an object to a file.