Method for recognizing text, and apparatus

An apparatus for recognizing a text, the apparatus comprising:

• one or more processors;
• and
• a storage apparatus, storing one or more programs thereon,
• the one or more programs, when executed by the one or more processors, cause the one or more processors to implement operations, the operations comprising:
• acquiring feature maps, the feature maps being obtained by means of performing text instance segmentation on an image of a to-be-recognized text;
• constructing a relationship graph according to the feature maps, wherein in the relationship graph:
• each node represents a pixel in a feature map, each edge represents that a similarity of spatial semantic features of two nodes connected by the edge is greater than a target threshold, and a spatial semantic feature of a node comprises a position feature and a type feature of a pixel represented by the node;
• processing the relationship graph using a pre-trained graph convolutional network, to obtain a first text feature corresponding to the image;
• and
• generating a text recognition result of the image based on the first text feature.

A non-transitory computer readable medium, storing a computer program thereon, wherein, the program, when executed by a processor, implements operations, the operations comprising:

• acquiring feature maps, the feature maps being obtained by means of performing text instance segmentation on an image of a to-be-recognized text;
• constructing a relationship graph according to the feature maps, wherein in the relationship graph:
• each node represents a pixel in a feature map, each edge represents that a similarity of spatial semantic features of two nodes connected by the edge is greater than a target threshold, and a spatial semantic feature of a node comprises a position feature and a type feature of a pixel represented by the node;
• processing the relationship graph using a pre-trained graph convolutional network, to obtain a first text feature corresponding to the image;
• and
• generating a text recognition result of the image based on the first text feature.