Document rectification via homography recovery using machine learning

This invention describes an online service that straightens and corrects distorted images of documents. When you send it a picture, a machine learning system first figures out what kind of device took the photo, such as a mobile phone. Based on that detection, it automatically chooses the best method to fix the image, ensuring a high-quality result without needing you to do anything else.

Why it matters: Since 2019, machine learning models for image classification and object detection have become significantly more accurate and efficient. This makes the core task of identifying the image source device and document corners, as described in the claims, much more robust and performant today.

Status: Not in forceListed as no longer active. The specific reason is not in the record we hold.
How hard to build: SpecializedMachine learning models, webservice, software pipelines

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