Single character extraction method and system based on signature stroke sequence

The invention discloses a signature list word extraction technology based on an image and a sequence, relates to an electronic signature technology, and aims to reduce a coordinate point set of a stroke feature sequence to obtain macroscopic features of a signature at a low sampling rate, interpolate and expand the coordinate point set of the stroke feature sequence to obtain microscopic features of the signature at a high sampling rate. A single character cutting module 1 uses a point set sequence output by an interpolation module, a single character cutting module 2 uses a point set sequence output by a downsampling module, and a stroke feature extraction module in the single character cutting module divides strokes through a point set to generate stroke features. The single character cutting module 1 and the single character cutting module 2 use a nested named entity recognition mode to respectively obtain stroke attributes and character number confidence coefficients of signatures according to stroke feat