append_ocr_trainf
— Add characters to a training file.
append_ocr_trainf(Character, Image : : Class, TrainingFile : )
The operator append_ocr_trainf
serves to prepare the
training with the operator trainf_ocr_class_mlp
or
trainf_ocr_class_svm
. Hereby
regions, representing characters, including their gray values (region
and pixel) and the corresponding class name will be written into a
file. An arbitrary number of regions within one image is supported.
For each character (region) in Character
the corresponding
class name must be specified in Class
. The gray values are
passed via the parameter Image
. In
contrast to the operator write_ocr_trainf
the
characters are appended to an existing file using the same training file
format as this file. If
the file does not exist, a new file is generated. In this case, the
file format can be chosen by the parameter
'ocr_trainf_version' of the operator set_system
. If no
file extension is specified in TrainingFile
, the extension '.trf'
is appended to the name.
Character
(input_object) region(-array) →
object
Characters to be trained.
Image
(input_object) singlechannelimage →
object (byte / uint2)
Gray values of the characters.
Class
(input_control) string(-array) →
(string)
Class (name) of the characters.
TrainingFile
(input_control) filename.write →
(string)
Name of the training file.
Default: 'train_ocr'
File extension:
.trf
, .otr
char name[128]; char class[128]; read_image(&Image,"character.tiff"); binary_threshold(Image,&Dark, 'otsu', 'dark', &UsedThreshold); connection(Dark,&Character); count_obj(Character,&num); create_tuple(&Class,num); open_window(0,0,-1,-1,0,"","",&WindowHandle); set_color(WindowHandle,"red"); for (i=0; i<num; i++) { select_obj(Character,&SingleCharacter,i); disp_region(SingleCharacter,WindowHandle); printf("class of character %d ?\n",i); scanf("%s\n",class); append_ocr_trainf(Character,Image,name,class); }
If the parameters are correct, the operator
append_ocr_trainf
returns the value 2 (
H_MSG_TRUE)
.
Otherwise an exception will be raised.
threshold
,
connection
,
read_ocr_trainf
trainf_ocr_class_mlp
,
trainf_ocr_class_svm
,
write_ocr_trainf
write_ocr_trainf
,
write_ocr_trainf_image
OCR/OCV