The invention discloses a
handwriting recognition and judgment method and
system based on
knowledge transfer learning, and relates to the field of
handwriting recognition. Establishing a rectangular plane coordinate
system, calculating a curvature and an average curvature, comparing the curvature and the average curvature with a preset threshold value, judging
stroke types, and counting linear strokes and the total
stroke number; calculating a vector included angle and an angle average value; the total
handwriting length, the average acceleration and the handwriting
generation rate are obtained in combination with real handwriting sample data, and then a comprehensive index is calculated; respectively calculating an average pressure value and a pressure variance, further calculating a comprehensive
pressure index, and calculating a handwriting feature index and a writer identity authenticity
score according to the comprehensive
pressure index; calculating a
score average value and a
score standard deviation of the identity authenticity of the writer, and obtaining a handwriting authenticity index threshold value; calculating an identity authenticity score of the to-be-judged writer, and comparing the score with a handwriting authenticity index threshold to judge the authenticity of the handwriting; according to the method,
handwriting recognition and authenticity judgment can be more accurately carried out.