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

这一创新项目旨在通过检查和分析特定脚本或字母的本地和非本地作家的书面作品，探索关于笔迹分析的新假设。 需要探讨的一个假设是，手写可以被视为类似于语音，在这个意义上，强调可能在脚本本身中指示，而不需要特殊的符号。 第二个假设是，一个人的笔迹是一个混合的风格影响，可以分解成可识别的成分。洞察这些问题可能会导致我们的能力，以确定书面作品的重要方面，可以有利于研究和应用在各种学科，包括计算和计算科学，法医学，生物识别和人文学科的扩展。 人文主义者将获得强大的新工具和界面，用于分析大量的手写文件，在许多字母和脚本，从而能够确定关键信息的使用，如按时间顺序排列，分类，确定地理起源等任务，一些脚本和字母表将包括在研究中，包括阿拉伯语，东方脚本，罗马人和其他许多人有显著的特征差异。

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.