Concepts in Computing - EconoCR™ Features
Automated Threshold Options
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Single computed value
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Linear values across the region of interest
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Multiple varying values across the region of interest
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Floating point form
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Two integer forms
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Percent of pixel density
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Color or gray scale
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Automatic light-on-dark / dark-on-light object detection
Segmentation
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Horizontal and vertical spacing options
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Maximum character width
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Automatic character splitting option (dot matrix or stroke characters)
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Minimum edge width setting
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Maximum/minimum height and width settings (options to discard or resize as
needed)
Classification
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Three seperate classification algorithms
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Aspect ratio independent
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Very fast, very flexible
Other
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Time deterministic
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Train patterns, characters and foreign characters
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View trained characters as recreated from the data - see what the classifier
"sees"!
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Get match info for better training and reading
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Searching -- multi-target search of different types
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Train once, pick different resolutions for optimal performance!
Utility Library
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Gradient edge detection (Straight edge using least squares. Calculate angles
from the end points)
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Hough transform
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Histogram profiling - four different methods (vertical and horizontal)
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Two seperate row locator functions (Primitive methods accessible)
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Methods to remove blobs of data touching the region of interest
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Spezialized math functions: xbar, deviation, kurtosis, skewness
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Image rotation
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Automatic light/dark object detection
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Automatic row detection
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Auto configuration for heights, widths and more!
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Straightening of slanted text
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Rotate 0, 90, 180, or 270 degrees
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Flip and reverse
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Gradient data detection