HANDWRITING RECOGNITION USING NEURAL NETWORKS Russian patent published in 2021 - IPC G06K9/18 G06K9/62 G06N3/02 

Abstract RU 2757713 C1

FIELD: recognition technology.

SUBSTANCE: invention relates to the field of computer technology for recognizing handwritten text. The expected result is achieved by a text recognition method that includes: obtaining an image with a text string; segmentation of the image into two or more image fragments; for each of two or more image fragments, determining the first hypothesis for segmenting an image fragment into the first set of grapheme images; determining the first fragmentation confidence score for the first hypothesis; determining the second hypothesis for segmenting an image fragment into a second set of grapheme images; determining the second fragmentation confidence score for the second hypothesis; determining that the first fragmentation confidence score is higher than the second fragmentation confidence score; and converting the first set of grapheme images defined by the first hypothesis into a set of characters; and collecting the set of characters of each image fragment to obtain a string of text.

EFFECT: improved character recognition.

20 cl, 10 dwg

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RU 2 757 713 C1

Authors

Andrey Upshinskiy

Dates

2021-10-20Published

2020-11-24Filed