Identification of Personality Traits by Machine Learning Analysis of Signatures and Handwriting
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Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s42979-024-02798-1.pdf
Reference17 articles.
1. Gahmousse A, Gattal A, Djeddi C, Siddiqi I. Handwriting based personality identification using textural features. In: 2020 International conference on data analytics for business and industry: way towards a sustainable economy (ICDABI); 2020. (pp. 1–6). IEEE.
2. Hemlata MS, Singh K. Personality detection using handwriting analysis. In: The seventh international conference on advances in computing, electronics and communication (ACEC); 2018 (pp. 85–89).
3. Kedar SV, Bormane DS, Dhadwal A, Alone S, Agarwal R. Automatic emotion recognition through handwriting analysis: a review. In: 2015 international conference on computing communication control and automation; 2015 (pp. 811–816). IEEE.
4. Sajeevan S, Wickramaarachchi WU. Detection of personality traits through handwriting analysis using machine learning approach. In: Advances on smart and soft computing: proceedings of ICACIn 2021; 2021 (pp. 79–89). Singapore: Springer Singapore.
5. Bezine H, Alimi AM, Sherkat N. Generation and analysis of handwriting script with the beta-elliptic model. In: Ninth International Workshop on Frontiers in Handwriting Recognition; 2004. (pp. 515–520). IEEE.
1.学者识别学者识别
2.学术分析学术分析
3.人才评估人才评估
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