US 12,380,718 B2
Model generation system and model generation method
Nguyen Cong Kha, Tokyo (JP); and Ryosuke Odate, Tokyo (JP)
Assigned to Hitachi, Ltd., Tokyo (JP)
Filed by Hitachi, Ltd., Tokyo (JP)
Filed on Feb. 17, 2023, as Appl. No. 18/111,254.
Claims priority of application No. 2022-045991 (JP), filed on Mar. 22, 2022.
Prior Publication US 2023/0306769 A1, Sep. 28, 2023
Int. Cl. G06V 30/10 (2022.01); G06V 30/18 (2022.01); G06V 30/19 (2022.01); G06V 30/262 (2022.01)
CPC G06V 30/19147 (2022.01) [G06V 30/18 (2022.01); G06V 30/19133 (2022.01); G06V 30/262 (2022.01)] 9 Claims
OG exemplary drawing
 
1. A model generation system for generating a text line recognition model that recognizes a text line included in a text line image, the model generation system comprising:
a memory; and
a processor section, wherein
the text line recognition model includes
a visual feature extractor that, when executed by the processor section, outputs image feature values from the text line image, and
a language context relation network that, when executed by the processor section, inputs the feature values outputted from the visual feature extractor, and outputs the text line,
the processor section by executing a program stored in the memory that performs the following steps:
(1) determining a variable of the language context relation network by acquiring text data for training and thus training the language context relation network by using the acquired text data,
(2) determining a variable of the visual feature extractor by training the text line recognition model through use of an existing labeled text line image while the variable of the language context relation network is set according to step (1), and
(3) generating the text line recognition model while the variable of the language context relation network is set according to step (1) and the variable of the visual feature extractor is set according to step (2),
wherein the memory is configured to store the text line recognition model.