Explainer: What is OCR, and how does it work? | Biometric Update
Optical character recognition bridges the gap between static print media and dynamic digital data. By converting image-based text into machine-readable formats, it eliminates manual intervention and enables seamless integration with business software. This capability allows organizations to analyze, store, and manage information from documents like identity papers efficiently, transforming hard-to-handle scans into actionable digital assets. The technology operates by analyzing light and dark areas within scanned images, using algorithms such as pattern matching or feature extraction to identify characters. While effective for standard fonts, these methods ensure that textual content is accurately translated into editable files. This process supports automation tasks, including form completion, thereby streamlining operations and enhancing overall productivity across various industries. This article is highly relevant to open data initiatives because it demonstrates how unstructured visual information can be democratized. By converting physical records into accessible digital text, OCR facilitates the publication and reuse of sensitive or archival data. This transition empowers developers and researchers to build innovative applications that leverage previously inaccessible datasets, fostering transparency and interoperability in the broader open data ecosystem.
Source: biometricupdate.comPublished on 2023-12-26