Explainer: What is OCR, and how does it work? | Biometric Update
Optical Character Recognition (OCR) transforms static image-based text into editable, machine-readable data, addressing the critical challenge of managing unstructured information from print media. This technological bridge allows organizations to digitize physical documents efficiently, thereby eliminating the need for manual data entry and enabling seamless integration with digital workflows. By converting visual characters into digital text, OCR facilitates advanced analytics, process automation, and enhanced productivity across various industries. The system employs specialized algorithms to interpret visual inputs, ensuring that diverse document types can be processed accurately. This capability supports the broader goal of transforming raw, inaccessible visual data into actionable information assets for business intelligence. This article is highly relevant to open data as it highlights the essential first step in making physical records computable. Open data initiatives rely on accessible, structured information, and OCR serves as a vital mechanism for unlocking vast amounts of historical or physical documentation. By enabling the conversion of non-digital assets into interoperable formats, OCR supports transparency and expands the volume of usable data available for public analysis and innovation.
Source: biometricupdate.comPublished on 2024-03-04
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