Text entity recognition

This invention describes a computer program that finds specific pieces of text, like names or dates, within images that have been converted into text by an optical character recognition (OCR) system. It works by analyzing the OCR output, identifying potential text strings, and then correcting any errors in those strings by replacing incorrect characters with correct ones based on their expected type, using specific rules to isolate the text.

Why it matters: Filed before the widespread adoption of advanced deep learning and large language models. These technologies excel at pattern recognition, context understanding, and error correction, making the identification and autocorrection of text entities from OCR output significantly more robust and efficient today.

Status: Not in forceListed as no longer active. The specific reason is not in the record we hold.
How hard to build: SpecializedSoftware logic, OCR, machine learning models

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