US 12,444,223 B2
Apparatus and method for producing labelled cursive handwritten text samples with context style variability suitable for forming training data for training machine learning neural networks for cursive handwriting recognition
Wai Kai Arvin Tang, Hong Kong (HK); and Sergio Rodolfo Cruz Gomez, Hong Kong (HK)
Assigned to Hong Kong Applied Science and Technology Research Institute Company Limited, Hong Kong (HK)
Filed by Hong Kong Applied Science and Technology Research Institute Company Limited, Hong Kong (HK)
Filed on Sep. 8, 2023, as Appl. No. 18/463,326.
Prior Publication US 2025/0087007 A1, Mar. 13, 2025
Int. Cl. G06V 30/302 (2022.01); G06F 40/169 (2020.01); G06V 30/19 (2022.01)
CPC G06V 30/302 (2022.01) [G06F 40/169 (2020.01); G06V 30/19127 (2022.01)] 12 Claims
OG exemplary drawing
 
1. An apparatus for producing labelled cursive handwritten text samples with context style variability, comprising:
an input text word embedding unit configured for encoding an input text to obtain an input text word embedding in an input text feature space;
a context style word embedding unit configured for encoding a handwriting context style description into a context style description embedding in a handwriting context style feature space;
a word embedding transformer configured for transforming the context style description embedding from the handwriting context style feature space to the input text feature space to obtain a handwriting context style feature embedding;
a feature embedding combiner configured for combining the handwriting context style feature embedding and the input text word embeddings to form a combined feature embedding; and
a generator configured for generating a synthetic image based on the combined feature embedding;
wherein the synthetic image contains characters occurred in the input text with the handwriting context style defined in the handwriting context style description and context style variability introduced by the generator.