Explainer: What is OCR, and how does it work? | Biometric Update

Optical character recognition transforms static image data into editable, machine-readable text, addressing the critical need to digitize information from traditional print media. This capability is essential for businesses to store, manage, and analyze data that was previously inaccessible, thereby streamlining operations and enhancing productivity through automated workflows. The technology relies on software algorithms that analyze scanned documents by distinguishing characters from background noise. Whether using pattern matching or feature extraction, these methods convert visual glyphs into digital text, enabling applications like form automation and supporting biometric identity binding through the processing of identity documents. This article is highly relevant to open data as it highlights the foundational infrastructure required to convert unstructured, image-based records into structured data assets. By detailing how OCR facilitates the transition from physical documents to analyzable digital formats, it underscores the technical prerequisites for making diverse data sources accessible, searchable, and integrable within open data ecosystems.

Source: biometricupdate.com
Published on 2023-11-23