TextLineSpecification Object
Set the CharacterModel
, ImageProcessing
parameters and other configurations for the specified text lines. This is the parameter that defines how the algorithm extract characters from each text lines of a LabelRecognizer
task. You can leave this area empty to use the default character recognizing settings.
{
"Name":"LS_1",
"CharacterModelName" : "NumberLetter",
"ApplicableTextLineNumbers":"",
"GrayscaleEnhancementModes" : [],
"BinarizationModes" : [],
"CharacterNormalizationModes" : [],
"BaseTextLineSpecificationName" : "LS_0",
"StringLengthRange" : [44,44],
"StringRegExPattern" : "",
"FirstPoint" : [ 0, 0 ],
"SecondPoint" : [ 100, 0 ],
"ThirdPoint" : [ 100, 20 ],
"FourthPoint" : [ 0, 20 ],
"CharHeightRange" : [ 800, 1000, 1 ]
}
If the number first text line is not in the area, only the third and fifth text lines are processed.
Usage Instructions
Parameter Configurations
Select CharacterModel
Select one of the CharacterModel
for the text line(s) by specifying the name of the model. View CharacterModel
page for how to configure the models.
Set Targeting Text Lines
Parameter ApplicableTextLineNumbers
defines which text lines shall apply the settings of this TextLineSpecification
object.
- If
ApplicableTextLineNumbers
is null, all the text lines will use the default settings. - If
ApplicableTextLineNumbers
is not applied to all the text lines, the remaining text lines will use the default settings.
You can also specify the location of the targeting text lines with 4 point coordinates. The targeting text line is filtered based on the combination of ApplicableTextLineNumbers
and area definition. For example:
You can use the following parameters to process the above image:
{
"ApplicableTextLineNumbers" : "7,8",
"FirstPoint" : [ 0, 60 ],
"SecondPoint" : [ 70, 60 ],
"ThirdPoint" : [ 70, 100 ],
"FourthPoint" : [ 0, 100 ]
}
If your set the ApplicableTextLineNumbers
as “1-8”, the text line from 1 to 6 are not recognized because they are not in the specified area.
Configure ImageProcessing Modes
GrayscaleEnhancementModes
enhance the quality of the grayscale image.
BinarizationModes
configurations finally reflect in the quality of the binary image. It determines how the charaters are presented on the text areas before they recognized by the library. The higher quality of the binary image, the higher read rate and accuracy of the character recognition result.
CharacterNormalizationModes
are additional settings that further improve the quality of characters. Genarally, they are morphological transformations. You can view more about them from Image-Processing in OpenCV - Morphological Transformations.
Quick Settings
Based on a existing TextLineSpecification
object, you can use BaseTextLineSpecificationName
with other minor changes to configure a new TextLineSpecification
object. For example;
{
"Name":"LS_0",
"CharacterModelName" : "NumberLetter",
"ApplicableTextLineNumbers":"1-3",
"BinarizationModes" : [
{
"Mode": "BM_LOCAL_BLOCK",
"BlockSizeX": 5,
"BlockSizeY": 5,
}
],
"CharacterNormalizationModes" : [
{
"Mode": "CNM_MORPH",
"MorphOperation": "Close",
"MorphArgument": "3",
}
],
"StringLengthRange" : [44,44],
"StringRegExPattern" : "Dynamsoft",
"CharHeightRange" : [ 800, 1000, 1 ]
},
{
"Name":"LS_1",
"BaseTextLineSpecificationName" : "LS_0", // Use the same settings with LS_0 but add some changes.
"ApplicableTextLineNumbers":"4-7",
"CharHeightRange" : [ 600, 800, 1 ]
}
Additional Annotations
LabelRecognizerTaskSetting
determines how a label recognizer task works from initializing to finializing. As a parameter of LabelRecognizerTaskSetting
, TextLineSpecification
decides how the text lines are processed when they are detected in the label recognizer task. A group of default settings has been allocated for the TextLineSpecification
so that the LabelRecognizerTaskSetting
still works without specifying TextLineSpecification
parameters.