Start » Filter Reference » Computer Vision » Optical Character Recognition » MakeCharacterSamples
Advanced| Module: | OCR |
|---|
Creates training font samples from the provided regions.
| Name | Type | Description | |
|---|---|---|---|
 |
inCharacterRegions | RegionArray | Array of character regions |
|
inCharacters | String | Character that should be assigned to corresponding regions |
 |
outCharacterSamples | CharacterSampleArray | Array of CharacterSamples |
Description
The operation creates a set of character samples used to train OcrMlpModel in the TrainOcr_MLP filter. Consecutive letters in inCharacters correspond to consecutive regions in inCharacterRegions.
Examples
Description of usage of this filter can be found in examples and tutorial: Preparing an OCR model.
Remarks
The length of inCharacters must be equal to the size of the inCharacterRegions array.
To read more about how to use OCR technique, refer to Machine Vision Guide: Optical Character Recognition
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 |
|---|---|
| DomainError | At least a single character should be provided in MakeCharacterSamples. |
| DomainError | Parameter inCharacterRegions contains empty region in MakeCharacterSamples. |
| DomainError | The size of inCharacterRegions and the length of inCharacters are not equal in MakeCharacterSamples. |
Complexity Level
This filter is available on Advanced Complexity Level.
See Also
- TrainOcr_MLP – Trains an OCR multilayer perceptron classifier.