关键词: 字母连写, 笔迹跟踪, 关键点提取, 曲线拟合, 系数向量

Abstract: A new stroke tracking algorithm which based on the key points of stroke segmentation and least-squares fitting is proposed according to a current situation that directly tracking of complex Latin cursive strokes is still a difficult problem. Each kind of template strokes’ key points is acquired from figure domain and time domain, and is used for extracting the stroke and acquired fitting-curve’s coefficient vector template by least squares. The key points from real writing and fitting curve（reconstructed by coefficient vector） are used for computing the similarity. Conic curve, sinusoid and line have been chosen as standard fitting curve. The experiments show that the method is objective and robust, besides, it can be applied to more than two ligaturing-letters stroke tracking and other kinds of Latin writing language.

Key words: ligaturing-letters, stroke tracking, extract of key points, curve fitting, coefficient vector