Additional Information

Functionality Recognition of printed characters including: Monofont Omnifont Dot-matrix Italics font Recognition of hand-written characters Recognition of marks Recognition of barcodes Recognition of special fonts such as CMC7, Ferrington, OCRA, OCRB   Technology Features Both printed and handwritten OCR engines are trainable and can be adjusted to the specific characteristics of the OCR application Field recognition level is supported, which includes line separation and character segmentation Character segmentation includes separation of touching characters and combination of broken characters (for both printed and handwritten text) Contains pre-processing options such as: Lines removal (vertical and/or horizontal) Deskew tilted text Remove speckles Fill small holes Extract fields from a page via coordinates, with automatic adjustments of extracted text via connected component analysis Field segmentation for both boxed and non-boxed fields Software threshold sliders to adjust working points of reject-to-substitution rate Enable the usage of multipass OCR with various image pre-processing filters   Software Features Available API toolkit. Automatic and/or manual resource management for the OCR engines. These resources include neural networks, font libraries, statistical tables, etc. Training capability of the OCR resources to specific data types. Configuration file to enable creation of form processing applications. Interactive GUI to create configuration files.