CAJ | 학술논문

针对目前笔画跟踪算法不能直接跟踪分析拉丁文字母连写笔画的问题，以英文二连字母笔画为例，提出基于关键点进行笔段分割与最小二乘法拟合的字母连写笔画跟踪方法。在图域、时域获取模板笔画各类笔迹关键点向量，依据关键点提取笔段，利用最小二乘法将笔段转换成拟合曲线的系数向量模板；将实写笔画的各类关键点与系数向量重构的拟合曲线进行贴近度分析从而实现笔迹跟踪。范类拟合曲线选择二次曲线、正弦曲线及直线。实验与分析结果表明，该方法对字母连写笔画跟踪效果具有较强客观性、鲁棒性，其原理同样适用于多于二字母的连写笔画跟踪，也可推广到其他拉丁文文种。
침대목전필화근종산법불능직접근종분석랍정문자모련사필화적문제，이영문이련자모필화위례，제출기우관건점진행필단분할여최소이승법의합적자모련사필화근종방법。재도역、시역획취모판필화각류필적관건점향량，의거관건점제취필단，이용최소이승법장필단전환성의합곡선적계수향량모판；장실사필화적각류관건점여계수향량중구적의합곡선진행첩근도분석종이실현필적근종。범류의합곡선선택이차곡선、정현곡선급직선。실험여분석결과표명，해방법대자모련사필화근종효과구유교강객관성、로봉성，기원리동양괄용우다우이자모적련사필화근종，야가추엄도기타랍정문문충。
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.