| CPC G06V 40/33 (2022.01) [G06F 21/32 (2013.01)] | 26 Claims |
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1. A method for writable document forgery detection, the method comprising:
extracting a reference writing sample from a media via a neural network by generating one or more first embedding vectors, and encoding the one or more first embedding vectors, wherein the one or more first embedding vectors include a biometric characteristic of the reference writing sample generated by the neural network, the biometric characteristic comprising a velocity of the reference writing sample;
encrypting the one or more first embedding vectors;
compressing the one or more first embedding vectors;
printing the one or more first embedding vectors onto the writable document;
receiving the writable document, the writable document including a handwritten segment;
extracting one or more second embedding vectors from the handwritten segment of the received writable document;
comparing the one or more first embedding vectors to the one or more second embedding vectors; and
assessing a likelihood of the reference writing sample and the handwritten segment being written by a same person based on the comparison.
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