基于基本笔画运笔特征的汉字笔迹鉴定的研究

基于汉字笔迹鉴定的有效特征主要蕴于手写汉字笔画运笔中的设想 ,提出以汉字笔画作为笔迹鉴定的主要对象 .在选用手书基本笔画为研究对象的基础上 ,进一步从手书汉字中抽取基本笔画作为对象 ,在基本笔画中抽取反映各自行笔部运笔的特征 ,形成多维特征空间 .求得各鉴定对象在特征空间中的分布 ,计算它与辞书中各书写者位置间的广义距离 ,实现笔迹的鉴定 .实验选用 10位书写者 ,8种基本笔画 ,每种笔画采用 10个样本 ,结果显示对于单一笔画和简单的汉字取得令人满意的鉴定率 .本研究完全克服了以往笔迹鉴定研究中结体依存性的不足 ,大大缩小了辞书所需的空间 .研究结果不仅证实了该方法的可行性 ,还进一步验证了该方法的实用前景 .

Chinese Character Writer Identification Based on Motion Features of Basic Strokes

The research was based on an assumption that valid features in handwritten Chinese characters were contained in motion of the handwritten characters' strokes. Therefore we deal with the basic strokes as main object in writer identification. We select the basic handwriting strokes and the strokes extracted from Chinese characters as the main objects, extract respective motion features in the basic strokes, and then form the multi-dimension feature spaces. Thus we can get the distribution of every object in the feature spaces and compute the broad-sense distances between the object and every writer's stroke in the dictionary. In this way we accomplish writer identification. In the present research, we chose ten writers, and eight kinds of basic stroke contained in ten samples. Satisfactory identification rate for the single strokes and some simple Chinese characters was obtained. The method has avoided the drawback of text-dependence existing in previous writer identification approaches. It also reduces the dictionary size. The results show the feasibility and practical prospect of the proposed method.