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

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

Optical character recognition bridges the gap between analog print and digital data, addressing the historical limitation of image files being unsearchable or uneditable. By transforming static text into machine-readable formats, this technology enables the seamless integration of physical documents into modern digital workflows. This shift is crucial for managing the surge in digitization, allowing organizations to efficiently store, process, and utilize information that was previously difficult to manage. The underlying mechanism involves converting scanned images into simplified bitmap representations, where software analyzes dark areas to identify characters. Using either pattern matching for standard fonts or feature extraction for complex shapes, the system deciphers individual glyphs and translates them into usable data. This automated process eliminates manual intervention, reducing errors and significantly enhancing operational efficiency by enabling direct analysis by other business software. This capability is highly relevant to open data initiatives as it facilitates the digitization of public records and identity documents. When governments or institutions make such data open, OCR ensures that historical or physical archives become searchable and analyzable for the public. It supports transparency and accessibility by allowing third-party developers to build applications that leverage this standardized textual data, thereby fostering innovation and improving public service delivery through open information ecosystems.

Source: biometricupdate.com
Published on 2024-01-31

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