Optical Character Recognition
GPTKB entity
Statements (60)
| Predicate | Object |
|---|---|
| gptkbp:instance_of |
gptkb:technology
|
| gptkbp:bfsLayer |
3
|
| gptkbp:bfsParent |
gptkb:robot
|
| gptkbp:allows |
Language support
Complex layouts Accuracy with handwriting Quality of input image |
| gptkbp:applies_to |
License plate recognition
Document digitization Invoice processing Assistive technology for the visually impaired Automated data entry Bank check processing Text-to-speech systems |
| gptkbp:can_be |
Printed text
Structured data Editable text Handwritten text |
| gptkbp:developed_by |
gptkb:Dr._Ray_Kurzweil
|
| gptkbp:has_programs |
gptkb:Educational_Institution
Finance Healthcare Legal industry |
| https://www.w3.org/2000/01/rdf-schema#label |
Optical Character Recognition
|
| gptkbp:improves |
gptkb:software
Efficiency Data accuracy |
| gptkbp:is_available_in |
Cloud services
Mobile applications Various software products |
| gptkbp:is_enhanced_by |
Deep learning
Regular updates Neural networks User feedback Continuous learning Image preprocessing techniques |
| gptkbp:is_evaluated_by |
Performance benchmarks
Accuracy metrics User satisfaction surveys |
| gptkbp:is_part_of |
gptkb:Artificial_Intelligence
Computer vision |
| gptkbp:is_related_to |
Data mining
Natural language processing Text analysis Information retrieval |
| gptkbp:is_supported_by |
Mobile apps
Web services Various software applications |
| gptkbp:is_used_for |
Text recognition
|
| gptkbp:is_used_in |
Scanning documents
Data extraction from forms Reading text from images Transcribing printed materials |
| gptkbp:training |
Large datasets
Various languages Annotated images Diverse fonts |
| gptkbp:uses |
Image processing
Machine learning Pattern recognition |