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Group Discriminatory Power of Handwritten Characters

机译:手写字符的群体歧视能力

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摘要

Using handwritten characters we address two questions (ⅰ) what is the group identification performance of different alphabets (upper and lower case) and (ⅱ) what are the best characters for the verification task (same writer/different writer discrimination) knowing demographic information about the writer such as ethnicity, age or sex. The Bhattacharya distance is used to rank different characters by their group discriminatory power and the k-nn classifier to measure the individual performance of characters for group identification. Given the tasks of identifying the correct gender/age/ethnicity or handedness, the accumulated performance of characters varies between 65% and 85%.
机译:使用手写字符,我们解决两个问题(ⅰ)不同字母(大写和小写)的组识别性能是什么,以及(ⅱ)知道人口统计信息的验证任务(相同的作者/不同的作者歧视)的最佳字符是什么?作家,例如种族,年龄或性别。 Bhattacharya距离用于通过字符的组区分能力对不同的字符进行排名,并使用k-nn分类器来测量字符的单个性能以进行组识别。给定识别正确的性别/年龄/民族或惯性的任务,字符的累积表现在65%至85%之间。

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