笔迹鉴别是一种行为特征的识别方法,笔迹容易获取并且具有唯一性,因此,基于笔迹的身份验证在安全等领域有广阔的应用前景。笔迹鉴别可分为在线、离线两种形式,鉴别方法有文本依存和文本独立两大类。文中结合维吾尔语自身的文字特点,主要针对离线的文本无关的维吾尔文笔迹鉴别中预处理和笔迹的边缘提取技术进行细致的研究。该研究为维吾尔文计算机笔迹鉴别系统的最终实现提供了关键的技术支持,推动了少数民族语言文字笔迹鉴别自动化的进程。
Writer identification is a method of behavioral characteristics recognition.Handwriting is unique and easy to obtain,and therefore,handwriting-based authentication has broad application prospects in security field.Writer identification can be divided into online and offline two forms.There are two kinds of identification methods,they are text-dependent and text-independent.Do the meticulous research on pre-processing and handwriting edge extraction techniques in offline text-independent Uyghur writer identification based on the characteristics of the Uyghur itself.This research provides key technical support for the ultimate realization of the Uygur computer writer identification system,pushes the automated process of the minority language writer identification.