Explainer: What is OCR, and how does it work? | Biometric Update
Optical character recognition transforms static image text into machine-readable data, addressing critical limitations in traditional text editing and storage. By automating this conversion, businesses eliminate manual intervention, enabling seamless integration with digital systems for analysis, process automation, and enhanced productivity. This shift is essential as digitalization increases the volume of information transferred from print media. The technology operates through hardware scanning and sophisticated software algorithms that analyze light and dark areas to identify characters. Utilizing pattern matching or feature extraction, the software translates visual inputs into digital text. While pattern matching relies on font similarities, feature extraction breaks down glyphs into structural elements, allowing for broader recognition capabilities beyond standard fonts. This capability is highly relevant to open data initiatives, particularly in digital identity and document verification. By converting scans of identity documents into analyzable text, OCR facilitates secure biometric binding and efficient data management. This interoperability supports transparent, automated public records and strengthens the integrity of open civic datasets by ensuring physical documents can be accurately digitized and accessed.
Source: biometricupdate.comPublished on 2024-01-29