EAGER: Automatic Identification of Writer Accent and Script Influences in Handwriting

这一创新项目建议通过检查和分析特定文字或字母表的土著和非土著作家的书面作品，探索关于笔迹分析的新假设。需要探索的一个假设是，笔迹可以被视为类似于语音，因为在某种意义上，强调可以在手稿本身中指示，而不需要特殊的符号。第二个假设是，一个人的笔迹是各种风格影响的混合体，可以分解成可识别的成分。对这些问题的洞察可以扩大我们识别书面作品的重要方面的能力，这些方面可能有利于各种学科的研究和应用，包括计算和计算科学、法医学、生物识别以及人文科学。人文学家将获得强大的新工具和界面，用于分析许多字母和文字的大量手写文件集合，从而能够确定在按时间顺序排列、分类、确定地理起源等任务中使用的关键信息。研究将包括一些文字和字母，包括阿拉伯文字、东方文字、罗马文字和许多其他具有显著特征差异的文字和字母。

This innovative project proposes to explore new hypotheses with respect to analysis of handwriting by examining and analyzing the written works of native and non-native writers of a particular script or alphabet. One hypothesis to be explored is that handwriting can be taken as analogous to speech in the sense that emphases might be indicated in the script itself without special notation. A second hypothesis is that an individual's handwriting is a mixture of style influences that can be decomposed into identifiable constituents. Insight into these issues could result in expansion of our ability to identify important aspects of written works that could benefit research and applications in a variety of disciplines including computing and computational sciences, forensics, biometrics and also the humanities. Humanists would gain powerful new tools and interfaces for analyzing large collections of handwritten documents in many alphabets and scripts and thus be able to ascertain critical information of use in such tasks as chronological ordering, categorization, determination of geographic origins, etc. A number of scripts and alphabets will be included in the research including Arabic, Oriental scripts, Roman and numerous others with significant feature differences.