Explainer: What is OCR, and how does it work? | Biometric Update
Optical character recognition transforms static image data into actionable digital text, bridging the gap between physical print media and modern digital ecosystems. By automating the conversion of documents like passports and driver’s licenses, organizations can eliminate manual intervention, thereby streamlining operations and enhancing overall productivity through seamless data integration with business software. This technology supports advanced analytics and process automation, particularly when combined with biometric identity binding. The ability to accurately extract and analyze text from scanned images enables robust document verification and digital identity management, allowing companies to leverage historical data for smarter decision-making and efficient workflow management. Relevance to open data lies in the standardization of information accessibility. By converting unstructured visual data into machine-readable formats, OCR facilitates broader data sharing and interoperability across platforms. This democratizes access to information, ensuring that content from traditional print sources can be analyzed, reused, and integrated into open data initiatives for public benefit and improved societal transparency.
Source: biometricupdate.comPublished on 2024-01-05