Train an OCR classifier with the help of a training file.
The operator trainf_ocr_class_box trains the classifier OcrHandle via the indicated training files. Any number of files can be indicated. The parameter AvgConfidence provides information about the success of the training: It contains the average confidence of the trained characters measured by a re-classification. The confidence of mismatched characters is set to 0 (thus, the average confidence will be decreased significantly).
The names of the characters in the file must fit the network.
|
OcrHandle (input_control) |
ocr -> integer |
| ID of the desired OCR-network. | |
|
FileName (input_control) |
filename(-array) -> string |
| Name(s) of the training file(s). | |
| Default value: ''train_ocr'' | |
|
AvgConfidence (output_control) |
real -> real |
| Average confidence during a re-classification of the trained characters. | |
If the file name is correct and the data fit the network, the operator trainf_ocr_class_box returns the value 2 (H_MSG_TRUE). Otherwise an exception will be raised.
trainf_ocr_class_box is processed completely exclusively without parallelization.
create_ocr_class_box, read_ocr
traind_ocr_class_box, write_ocr, do_ocr_multi, do_ocr_single
Optical character recognition
