Statistical Analysis of Handwritten Arabic Numerals in a Chinese Population

Wing K. Fung (), C. T. Yang, C. K. Li and N. L. Poon
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Wing K. Fung: The University of Hong Kong, Department of Statistics and Actuarial Science
C. T. Yang: The University of Hong Kong, Department of Statistics and Actuarial Science
C. K. Li: Questioned Documents Section, Hong Kong Government Laboratory
N. L. Poon: Questioned Documents Section, Hong Kong Government Laboratory

A chapter in COMPSTAT 2004 — Proceedings in Computational Statistics, 2004, pp 149-158 from Springer

Abstract: Abstract A sample of 187 subjects from the Chinese population in Hong Kong was selected to participate in a handwriting study of Arabic numerals. Characteristic features such as slant, direction of writing, angularity of turnings, directions of initial and/or ending strokes etc. were developed. A set of characteristic codes representing the profile of writing habits was assigned to each writer. Hierarchical cluster analysis was conducted on the characteristic features which were on nominal scale, and hence subjects who had similar writing habits for Arabic numerals were grouped. Pearson’s X 2 tests for independence for pairs of feature variables were constructed. The independence property allows us to estimate the probability of occurrence for certain characteristic features of a Arabic numeral. An alternative way for estimation is suggested when some of the features are not statistically independent.

Keywords: Writing habits; Arabic numerals; statistical study; classification system; test for independence; probability of occurrence (search for similar items in EconPapers)
Date: 2004
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-7908-2656-2_11

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DOI: 10.1007/978-3-7908-2656-2_11

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