Explainer: What is OCR, and how does it work? | Biometric Update
Optical character recognition transforms image-based text into machine-readable formats, bridging the gap between static print media and dynamic digital systems. This conversion is crucial for managing large volumes of scanned documents, allowing businesses to analyze, search, and operate on data that was previously inaccessible to standard software tools. The technology relies on sophisticated software algorithms that distinguish text from background by analyzing light and dark areas. By employing pattern matching or feature extraction, these systems identify individual characters with high precision, even adapting to variations in font and scale, thereby ensuring accurate data extraction from diverse source materials. This capability is vital for open data initiatives, as it democratizes access to information contained in physical records like identity documents. By automating the digitization process, OCR facilitates broader data availability and integration, enabling transparent analytics and streamlined public services that depend on accurate, machine-processable textual information.
Source: biometricupdate.comPublished on 2024-01-06