Read Text (OCRMax) Identification Tool - Advanced Tab
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Defines how the tool should merge character fragments when forming characters during segmentation: Require Overlap (default), Set Min Inter-Character Gap or Set Min Inter-Character Gap/Max Intra-Character Gap.
- Require Overlap: Character fragments must overlap horizontally by at least one pixel to be merged.
- Set Min Inter-Character Gap: Character fragments with a horizontal gap between them may be merged to form characters, where any two fragments with a gap less than the value defined in the Min Inter-Character Gap parameter will be merged.
- Set Min Inter-Character Gap/Max Intra-Character Gap: Character fragments with a horizontal gap between them may be merged to form characters, with the decision to merge two fragments based on the values defined in the Min Inter-Character Gap and Max Intra-Character Gap parameters.
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Defines the minimum fraction (0 - 100; default = 0) by which two character fragments must overlap each other in the X direction, in order for the two fragments to be considered as part of the same character.
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Defines the maximum gap size, in pixels (0 - 1000; default = 5), that can occur within a single character, even for damaged characters.
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Defines the minimum gap size, in pixels (0 - 1000; default = 0), that can occur between two characters. The gap is measured from the right edge of the character rectangle of one character, to the left edge of the character rectangle of the next character. If the gap between two fragments is smaller than this value, then the fragments must be considered to be part of the same character, unless the combined character would be too wide (as specified by the Maximum Character Width and/or Minimum Character Aspect Ratio parameters).
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Defines the minimum number of foreground (i.e. text) pixels (0 - 1000; default = 15) that a fragment must have in order to be considered for possible inclusion in a character. A character fragment is a blob in the binarized image.
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Defines the minimum number of foreground (i.e. text) pixels (0 - 5000; default = 30) that a character must have in order to be reported.
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Defines the mode used to normalize the image: None, Global, Local or Local Advanced (default).
- None: No normalization will be performed.
- Global: A global normalization is performed, using information in the whole region, not local variations.
- Local: A local normalization is performed, using information about each local character rectangle in the region to normalize the image.
- Local Advanced: A local normalization is performed, using information about each local character rectangle in the region to normalize the image, including adjustments for not only the background, but also the contrast of the foreground.
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Defines whether or not to remove from a normalized image everything that does not have the same stroke width as the as the rest of the image (by default, this setting is enabled). This setting is helpful if, for example, characters appear to be connected to each other by thin noise streaks. However, using this setting may also incorrectly remove real characters, if their stroke widths are inconsistent.
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Defines whether or not the function will completely ignore any fragments that touch any border of the region (by default, this setting is disabled). Ignoring such fragments can be useful for non-text features, such as the edges of labels, that might be included within the region.
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Defines a percentage modifier (0 - 100; default = 50) in the range that is used to compute the binarization threshold, in the normalized image, that binarizes the image between foreground and background.
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Defines the minimum amount of contrast [in normalized image grayscale levels (0 - 255; default = 30)] that a fragment must have, relative to the Binarization Threshold, in order to be considered for possible inclusion in a character.
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Defines the distance, in pixels (0 - 1000; default = 0), that a fragment may be removed from the "mainline" running horizontally through the text.
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Defines the type of character analysis mode to perform to determine the optimal character segmentation: Minimal or Standard (default).
- Minimal: Performs straightforward segmentation, according to the Segmentation parameters.
- Standard: Performs an analysis of the line as a whole, including character spacing, to determine the optimal segmentation.
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Defines the minimum pitch, in pixels (0 - 1000; default = 0), that can occur between two characters, where the pitch is computed based on the Character Pitch Position parameter. If the pitch between two fragments is smaller than this, then they must be considered to be part of the same character, unless the combined character would be too wide (as specified by the Maximum Character Width and/or Minimum Character Aspect Ratio parameters). Pitch is defined as the distance between (approximately) corresponding points on adjacent characters, and not the distance from the end of one character to the beginning of the next character (which is called the inter-character gap).
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Defines how the pitch between characters will be measured: Auto (default), Left-To-Left, Center-To-Center or Right-To-Right.
- If the Segmentation Analysis Mode parameter is set to Minimal, this parameter will be disabled.
- The terms "left" and "right" are relative to the coordinate axis defined by the region, i.e. "right" is equal to the positive X direction.
- Auto: Specifies that an unknown metric is being used; the appropriate pitch may be any of the other pitch positions, or else there is not a constant pitch position (as may be the case for a proportional-pitch font).
- Left-To-Left: Specifies that pitch is measured as the distance from the left-side of a character's character rectangle to the left-side of the adjacent character's character rectangle.
- Center-To-Center: Specifies that pitch is measured as the distance from the center of a character's character rectangle to the center of the adjacent character's character rectangle.
- Right-To-Right: Specifies that pitch is measured as the distance from the right-side of a character's character rectangle to the right-side of the adjacent character's character rectangle.
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Defines the metric used to define the spacing of characters: Auto (default), Fixed, Proportional or Variable.
- Auto: Specifies that pitch type is unknown, but the pitch type is expected to be either fixed or proportional, and not variable.
- Fixed: Specifies that pitch is fixed, which means that the pitch between any pair of characters is constant, e.g. regardless of the width of the character rectangles of the characters. The pitch is measured based on the Character Pitch Position parameter.
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Proportional: Specifies that the pitch is proportional, which means that the pitch between any pair of characters depends on the particular characters.
Note:- Although no pitch measurement is constant throughout a string, typically the inter-character gap, which is the distance from the right-side of one character's character rectangle to the left-side of the adjacent character's character rectangle, is approximately constant.
- The terms "left" and "right" are relative to the coordinate axis defined by the region, i.e. "right" is equal to the positive X direction.
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Variable: Specifies that no character-to-character distance metric is consistent throughout a string, e.g. character placement is erratic, and the pitch is neither fixed nor proportional.
Note: Variable pitch is different from Auto, since Auto assumes that the pitch is either fixed or proportional, but which is not known.
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Defines whether or not the tool will perform additional character validation during classification (by default, this parameter is disabled). When off, the tool will perform additional character validation during classification; which reduces the chances for misreads (i.e. false acceptance of a character).
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Defines the type of output image that should be displayed: Input Image (default), Normalized Image or Binarized Image.
- Input Image: The active input image will be displayed.
- Normalized Image: The normalized version of the image will be displayed.
- Binarized Image: The binarized version of the image will be displayed.