Visual segmentation of documents contained in files
AssigneeBase64.ai, Inc.
InventorsOzan Eren Bilgen, Alperen Sahin, Begum Yalcin, Can Korkut, Ihsan Soydemir
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AssigneeBase64.ai, Inc.
InventorsOzan Eren Bilgen, Alperen Sahin, Begum Yalcin, Can Korkut, Ihsan Soydemir
Estimating the term…
Systems and methods of the inventive subject matter are directed to artificial intelligence systems that are configured to receive an uploaded file from a user, where that upload contains images of one or more documents. Documents can be, e.g., receipts, identification cards, and so on. Once received, the system converts the image to a tensor to facilitate identifying mask images. The AI system then converts any identified mask images to grayscale before converting the image to black and white. White spaces are identified, and contours are identified that surround the white spaces. Next, white spaces with areas below a threshold size are discarded and white spaces with areas above that threshold have their contours stored. The AI system finds a minimum bounding rectangle for each contour and then crops the image around each white space accordingly. In this way, documents can be found within an image file and segmented to later processing.
A method of document segmentation using artificial intelligence (AI) comprising the steps of:
A method of document segmentation using artificial intelligence (AI) comprising the steps of:
A method of document segmentation using artificial intelligence (AI) comprising the steps of:
Dependencies are inferred from the claim text.