The application discloses a
morphing text detection method and device and a storage medium. The method comprises the following steps: extracting image features of a to-be-processed image, the to-be-processed image being an image collected from a specified text carrier, and the specified text carrier being easy to deform under stress; inputting the image features into a
control point detection network to obtain an edge
control point sequence; inputting the edge
control point sequence into a differentiable B-spline layer to perform
matrix multiplication calculation on a
base function matrix and the edge control
point sequence, thereby obtaining a B-spline curve
point sequence, and the
base function matrix being a two-dimensional matrix composed of B-spline
base function values; and generating a
text detection frame based on the B-spline curve
point sequence. The operation of the differentiable B-spline layer is differentiable in a
deep learning framework, and the gradient can be back propagated to the parameters of the control point detection network through the differentiable B-spline layer, thereby realizing integrated end-to-end optimization of
text detection and
curve fitting and significantly improving the performance of the model in a complex
morphing text detection task.