Explainer: What is OCR, and how does it work? | Biometric Update
Optical character recognition transforms static image-based text into machine-readable data, addressing the critical need to manage information derived from traditional print media. This capability is essential for modern businesses seeking to store, search, and analyze documents that were previously difficult to digitize manually. By eliminating human intervention, OCR enables the seamless conversion of scans into usable digital formats for further processing. The technology operates by converting scanned documents into high-contrast images, then using algorithms to identify characters based on pattern matching or feature extraction. This technical process allows systems to distinguish between background noise and relevant text elements, effectively isolating letters and numbers for accurate translation into digital files. These files can subsequently automate form completion and integrate with other business software. This automation is particularly vital for open data initiatives involving digital identity and document verification. By linking scanned text with biometric photos from identity documents, organizations can enhance productivity and security. The resulting structured data supports advanced analytics and streamlined operations, demonstrating how OCR facilitates the broader goals of transparency and efficient data management in an increasingly digital world.
Source: biometricupdate.comPublished on 2024-03-02