do_ocr_multi_class_mlp — Classify multiple characters with an OCR classifier.
do_ocr_multi_class_mlp computes the best class for each of
the characters given by the regions
Character and the gray
Image with the OCR classifier
returns the classes in
Class and the corresponding
confidences (probabilities) of the classes in
In contrast to
do_ocr_multi_class_mlp can classify multiple characters in
one call, and therefore typically is faster than a loop that uses
do_ocr_single_class_mlp to classify single characters.
do_ocr_multi_class_mlp can only return the best
class of each character. Because the confidences can be interpreted
as probabilities (see
evaluate_class_mlp), and it is therefore easy 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_mlp should be used.
A string of the number
displayed as '\0x1A') in
Class signifies that the region has been classified as rejection
do_ocr_multi_class_mlp, the classifier must be
Characters to be recognized.
→object (byte / uint2)
Gray values of the characters.
Handle of the OCR classifier.
Result of classifying the characters with the MLP.
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_mlp returns the value 2 (H_MSG_TRUE). If
necessary, an exception is raised.