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Review of Handwriting Analysis for Predicting Personality Traits

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Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 13813))

Abstract

Most research on document analysis is carried out through human intervention, such as manually counting the parameters of document analysis as the input of neural networks. Document analysis via computer vision methods is a relatively less explored area of research.

In this paper, we investigated the literature on document analysis in recent years, and summarized its development process and the commonly used research methods, discussed their advantages and disadvantages. Meanwhile, we put forward the general research ideas and steps for document analysis, highlight the limitations of existing processes and the challenges typically faced when designing such systems, provide potential, feasible solutions, and point out the direction of further research, which give guidance to novice researchers and have reference value for subsequent researchers. Our experiments verify that our method is feasible and can be used as a substitute for specific application scenarios without professional handwriting experts.

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Correspondence to Yan Xu or Yufang Tang .

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Xu, Y., Tang, Y., Suen, C.Y. (2022). Review of Handwriting Analysis for Predicting Personality Traits. In: Krzyzak, A., Suen, C.Y., Torsello, A., Nobile, N. (eds) Structural, Syntactic, and Statistical Pattern Recognition. S+SSPR 2022. Lecture Notes in Computer Science, vol 13813. Springer, Cham. https://doi.org/10.1007/978-3-031-23028-8_6

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  • DOI: https://doi.org/10.1007/978-3-031-23028-8_6

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-23027-1

  • Online ISBN: 978-3-031-23028-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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