Offline handwriting individual recognition system and method based on two-dimensional dynamic features

• Main Authors: Yang, Xu, Lu, Qimeng, Wang, Nan, Chen, Xiaohong, Wang, Yachen
• Format: Patent
• Language: English
• Published: 26.12.2023
• Subjects: CALCULATING; COMPUTING; COUNTING; PHYSICS

The invention provides an offline handwriting individual recognition system and method based on two-dimensional dynamic features. The method comprises: obtaining a first handwriting image corresponding to suspicious handwriting and second handwriting images corresponding to a plurality of sample handwriting; pre-processing the first handwriting image and the second handwriting images to obtain a first pre-processed image and second pre-processed images; extracting a first skeleton image and second skeleton images from the first pre-processed image and the second pre-processed images; obtaining a first writing trajectory and second writing trajectories according to the first skeleton image and the second skeleton images; extracting first dynamic features and second dynamic features according to the first writing trajectory and the second writing trajectories; performing processing to obtain a correlation coefficient between the suspicious handwriting and the sample handwriting, and performing processing to obtain an individual recognition result according to the correlation coefficient.