Explainer: What is OCR, and how does it work? | Biometric Update
Optical Character Recognition transforms static image text into machine-readable data, addressing the critical need for businesses to digitize and manage information from print media. This capability is vital for handling identity documents and integrating biometric data, thereby eliminating manual intervention and enabling efficient storage, searchability, and analysis of previously inaccessible visual information. The technology operates by converting scanned documents into binary images, distinguishing characters from background through pattern matching or feature extraction algorithms. While pattern matching relies on font similarity, feature extraction analyzes structural elements like lines and intersections, allowing for more flexible recognition. This technical process ensures that visual data is accurately converted into digital formats suitable for automated workflows and form processing. This article is highly relevant to open_data because it highlights the foundational role of OCR in making unstructured visual content accessible as structured data. By converting images into text, OCR enables the integration of diverse data sources into open data initiatives, supporting transparency, analytics, and interoperability across systems that rely on digitized records from physical documents.
Source: biometricupdate.comPublished on 2024-01-10
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