Handwriting and Gender: A multi-use data set

@article{Bradley2015HandwritingAG,
  title={Handwriting and Gender: A multi-use data set},
  author={S. Bradley},
  journal={Journal of Statistics Education},
  year={2015},
  volume={23}
}
  • S. Bradley
  • Published 2015
  • Computer Science
  • Journal of Statistics Education
Can individuals guess the gender of a writer based on a sample of his or her handwriting? We administer an electronic survey twice to the same individuals to find out. The resulting data set is interesting to students, rich enough to be amenable to a wide array of activities, and open to a variety of exploratory tacks for statistics students and teachers. 
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Adaptive Multi-Gradient Kernels for Handwritting Based Gender Identification
  • B. Navya, P. Shivakumara, +4 authors Tong Lu
  • Computer Science
  • 2018 16th International Conference on Frontiers in Handwriting Recognition (ICFHR)
  • 2018
TLDR
A new adaptive multi-gradient of Sobel kernels for extracting Adaptive Multi-Gradient Features (AMGF), which finds dominant pixels based on directional symmetry of text pixels given by AMGF and outperforms the existing methods. Expand
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  • Computer Science
  • 2018 24th International Conference on Pattern Recognition (ICPR)
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Multi-Gradient Directional (MGD) features, which provide direction of dominant pixels obtained by Canny edge image, and gradient direction symmetry, are explored, which results in feature vectors for gender identification based on handwriting analysis. Expand

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Archive | Index | Data Archive | Resources | Editorial Board | Guidelines for Authors | Guidelines for Data Contributors | Guidelines for Readers/Data Users | Home Page | Contact JSE
  • 2015
Graphology Merriam-Webster Dictionary
  • Graphology Merriam-Webster Dictionary
  • 2013
Identifying gender by handwriting : you ’ re probably not as good at it as you think
  • Survata Blog
  • 2013
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