Explainer: What is OCR, and how does it work? | Biometric Update
Optical character recognition transforms static image text into editable, machine-readable data, solving the critical challenge of managing information from print media in an increasingly digital world. This capability is vital for businesses seeking to digitize and analyze content that was previously difficult to store or search efficiently. The technology functions by analyzing scanned images to distinguish characters from backgrounds using pattern matching or feature extraction algorithms. By converting these visual elements into digital text files, OCR eliminates the need for manual intervention and enables seamless integration with other business software for analytics and process automation. This article is highly relevant to open data because it facilitates the extraction of structured information from unstructured visual sources, such as government-issued identity documents. By making text from these images accessible and searchable, OCR supports the broader goals of transparency and interoperability, allowing open data initiatives to utilize digitized records for public analysis and automated service delivery without relying on proprietary, closed formats.
Source: biometricupdate.comPublished on 2023-12-14
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