Explainer: What is OCR, and how does it work? | Biometric Update
Optical character recognition transforms uneditable image text into machine-readable data, bridging the gap between physical print media and digital systems. This capability is vital as businesses increasingly rely on scanning documents like passports to automate workflows, reduce manual intervention, and enhance operational productivity through integrated analytics. The technology employs hardware for scanning and software algorithms to distinguish characters from background noise. By utilizing pattern matching or feature extraction, OCR systems identify alphabetic and numeric glyphs, converting them into digital formats suitable for form automation and further data processing. This article is relevant to open data because it illustrates the critical first step in making physical information accessible and usable for open data ecosystems. By converting static images into structured text, OCR enables the integration of diverse data sources into open datasets, facilitating transparency and broader societal access to information previously locked in physical formats.
Source: biometricupdate.comPublished on 2024-03-11
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