RECOGNIZING HANDWRITTEN TEXT BY COMBINING NEURAL NETWORKS

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United States of America Patent

APP PUB NO 20230230404A1
SERIAL NO

17925251

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Abstract

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A method for recognizing handwritten text is disclosed. The method comprises receiving data comprising a sequence of ink points; applying the received data to a neural network-based sequence classifier trained with a Connectionist Temporal Classification (CTC) output layer using forced alignment to generate an output; generating a character hypothesis as a portion of the sequence of ink points; applying the character hypothesis to a character classifier to obtain a first probability corresponding to the probability that the character hypothesis includes the given character; processing the output of the CTC output layer to determine a second probability corresponding to the probability that the given character is observed within the character hypothesis; and combining the first probability and the second probability to obtain a combined probability corresponding to the probability that the character hypothesis includes the given character.

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Patent Owner(s)

Patent OwnerAddress
MYSCRIPT44339 NANTES CEDEX 3

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Inventor(s)

Inventor Name Address # of filed Patents Total Citations
ARADILLA, Guillermo Nantes, FR 8 195
CEROVIC, Cyril Nantes, FR 6 57
LALLICAN, Pierre-Michel Nantes, FR 9 47
MANSON, Gaël Nantes, FR 1 0

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