Train an OCR classifier.
trainf_ocr_class_mlp trains the OCR classifier OCRHandle with the training characters stored in the OCR training files given by TrainingFile. The training files must been created, e.g., using write_ocr_trainf, before calling trainf_ocr_class_mlp. The remaining parameters have the same meaning as in train_class_mlp and are described in detail with train_class_mlp.
|
OCRHandle (input_control) |
ocr_mlp -> integer |
| Handle of the OCR classifier. | |
|
TrainingFile (input_control) |
filename(-array) -> string |
| Name(s) of the training file(s). | |
| Default value: ''ocr.trf'' | |
|
MaxIterations (input_control) |
integer -> integer |
| Maximum number of iterations of the optimization algorithm. | |
| Default value: 200 | |
| Suggested values: 20, 40, 60, 80, 100, 120, 140, 160, 180, 200, 220, 240, 260, 280, 300 | |
|
WeightTolerance (input_control) |
real -> real |
| Threshold for the difference of the weights of the MLP between two iterations of the optimization algorithm. | |
| Default value: 1.0 | |
| Suggested values: 1.0, 0.1, 0.01, 0.001, 0.0001, 0.00001 | |
| Restriction: WeightTolerance >= 1.0e-8 | |
|
ErrorTolerance (input_control) |
real -> real |
| Threshold for the difference of the mean error of the MLP on the training data between two iterations of the optimization algorithm. | |
| Default value: 0.01 | |
| Suggested values: 1.0, 0.1, 0.01, 0.001, 0.0001, 0.00001 | |
| Restriction: ErrorTolerance >= 1.0e-8 | |
|
Error (output_control) |
real -> real |
| Mean error of the MLP on the training data. | |
|
ErrorLog (output_control) |
real-array -> real |
| Mean error of the MLP on the training data as a function of the number of iterations of the optimization algorithm. | |
* Train an OCR classifier
read_ocr_trainf_names ('ocr.trf', CharacterNames, CharacterCount)
create_ocr_class_mlp (8, 10, 'constant', 'default', CharacterNames, 80,
'none', 81, 42, OCRHandle)
trainf_ocr_class_mlp (OCRHandle, 'ocr.trf', 100, 1, 0.01, Error, ErrorLog)
write_ocr_class_mlp (OCRHandle, 'ocr.fnt')
clear_ocr_class_mlp (OCRHandle)
If the parameters are valid, the operator trainf_ocr_class_mlp returns the value 2 (H_MSG_TRUE). If necessary an exception handling is raised.
trainf_ocr_class_mlp may return the error 9211 (Matrix is not positive definite) if Preprocessing = 'canonical_variates' is used. This typically indicates that not enough training samples have been stored for each class.
trainf_ocr_class_mlp is processed completely exclusively without parallelization.
create_ocr_class_mlp, write_ocr_trainf, append_ocr_trainf, write_ocr_trainf_image
do_ocr_single_class_mlp, do_ocr_multi_class_mlp, write_ocr_class_mlp
OCR/OCV
