do_ocr_multi_class_cnn — Classify multiple characters with an CNN-based OCR classifier.
do_ocr_multi_class_cnn computes the best class for each of the characters given by the regions Character and the gray values Image with the OCR classifier OCRHandle and returns the classes in Class and the corresponding confidences (probabilities) of the classes in Confidence.
In contrast to do_ocr_single_class_cnn, do_ocr_multi_class_cnn can classify multiple characters in one call, and therefore typically is faster than a loop that uses do_ocr_single_class_cnn to classify single characters. However, do_ocr_multi_class_cnn can only return the best class of each character. Because the confidences can be interpreted as probabilities, it is easier to check whether a character has been classified with too much uncertainty. This is usually not a disadvantage, except in cases where the classes overlap so much that in many cases the second best class must be examined to be able to decide the class of the character. In these cases, do_ocr_single_class_cnn should be used.
The result '\x1A' in Class signifies that the region has been classified as rejection class.
Characters to be recognized.
Gray values of the characters.
Handle of the OCR classifier.
Result of classifying the characters with the CNN.
Number of elements: Class == Character
Confidence of the class of the characters.
Number of elements: Confidence == Character
If the parameters are valid, the operator do_ocr_multi_class_cnn returns the value 2 (H_MSG_TRUE). If necessary, an exception is raised.