Method, device and storage medium for recognizing chart

A device for recognizing a chart, wherein the device comprises a non-transitory computer storage medium on which one or more executable instructions are stored, and the one or more instructions are executable by a processor to perform the following steps:

• acquiring an object image containing a chart, wherein the chart comprises a labeled area defined by a first coordinate axis and a second coordinate axis that intersect with each other, first coordinate labels along the first coordinate axis, second coordinate labels along the second coordinate axis, and a plurality of characteristic labels within the labeled area;
• processing the object image with a trained first neural network to identify and separate the chart from the object image;
• processing the chart with a trained second neural network to identify the first coordinate labels, the second coordinate labels and the plurality of characteristic labels;
• generating a chart coordinate system based on the identified first coordinate labels and second coordinate labels, wherein the chart coordinate system fits the first coordinate axis and the second coordinate axis of the object image;
• determining coordinate values of each of the plurality of characteristic labels based on an identified position of the characteristic label in the chart coordinate system.

A non-transitory computer storage medium, wherein one or more executable instructions are stored thereon, and the one or more executable instructions are executed by a processor to perform a method for identifying a chart, and wherein the method comprises the following steps:

• acquiring an object image containing a chart, wherein the chart comprises a labeled area defined by a first coordinate axis and a second coordinate axis that intersect with each other, first coordinate labels along the first coordinate axis, second coordinate labels along the second coordinate axis, and a plurality of characteristic labels within the labeled area;
• processing the object image with a trained first neural network to identify and separate the chart from the object image;
• processing the chart with a trained second neural network to identify the first coordinate labels, the second coordinate labels and the plurality of characteristic labels;
• generating a chart coordinate system based on the identified first coordinate labels and second coordinate labels, wherein the chart coordinate system fits the first coordinate axis and the second coordinate axis of the object image;
• determining coordinate values of each of the plurality of characteristic labels based on an identified position of the characteristic label in the chart coordinate system.