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

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

Optical character recognition transforms static image data into machine-readable text, addressing critical challenges in managing digitalized print media. This capability allows businesses to process documents like passports efficiently, eliminating manual intervention while enabling seamless integration with biometric identity systems for secure verification and analytics. Technically, the process involves converting scanned bitmaps into high-contrast images, followed by analyzing dark areas to identify characters through pattern matching or feature extraction. These algorithms translate visual glyphs into digital formats, regardless of whether they resemble stored fonts or are broken down into structural features, ensuring broad applicability across various document types. This technology is relevant to open data as it unlocks valuable information hidden within legacy image files, making them accessible for computational analysis. By converting unstructured visual data into usable text formats, OCR facilitates broader data sharing, interoperability, and automated processing, ultimately supporting more transparent and efficient digital ecosystems.

Source: biometricupdate.com
Published on 2024-01-03

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