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Studies in Individuality: Can Students, Teachers and Schools Be Determined from Children's Handwriting?

机译:个性研究:能否通过儿童笔迹确定学生,教师和学校?

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摘要

The individuality of handwriting is the principal underpinning of forensic handwriting examination. Studies of individuality have considered different statistical extremes to obtain handwriting samples. The first is a representative population drawn from a country. The second is a population of twins- so as to reflect genetic similarity. A third approach is to study whether teachers and schools have an influence on individuality. This paper presents preliminary results of individuality studies with data from children's handwriting, in grades 2-4, to identify the school, teacher and student. Considering the single handwritten word and we evaluate the performances of two methods, one based on feature values assigned by human questioned document examiners and the other based on automatically computing image features. Results are given for determining the school, the teacher and the student from images using restricted Boltzmann machines. Results of identifying the school with human assigned features and support vector machines are also given.
机译:笔迹的个性是法医笔迹检查的主要基础。个性研究已经考虑了获得手写样本的不同统计极限。第一个是来自一个国家的代表性人口。第二个是双胞胎种群,以反映遗传相似性。第三种方法是研究教师和学校是否对个性产生影响。本文使用2-4年级的儿童笔迹数据,提供了个性研究的初步结果,以识别学校,老师和学生。考虑到单个手写单词,我们评估了两种方法的性能,一种基于人类可疑文档检查人员分配的特征值,另一种基于自动计算图像特征的方法。给出了使用受限的Boltzmann机器从图像确定学校,教师和学生的结果。还给出了用人类指定的特征和支持向量机识别学校的结果。

著录项

  • 来源
    《Computational forensics 》|2014年|20-30|共11页
  • 会议地点 Stockholm(SE);Tsukuba(JP)
  • 作者单位

    CEDAR, Department of Computer Science and Engineering University at Buffalo, The State University of New York, New York, USA;

    CEDAR, Department of Computer Science and Engineering University at Buffalo, The State University of New York, New York, USA;

    CEDAR, Department of Computer Science and Engineering University at Buffalo, The State University of New York, New York, USA;

    CEDAR, Department of Computer Science and Engineering University at Buffalo, The State University of New York, New York, USA;

  • 会议组织
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Computational forensics; Handwriting individuality; Questioned document examination; Restricted Boltzmann machine;

    机译:计算取证;手写个性;有疑问的文件检查;受限玻尔兹曼机;

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