Abstract
Personality plays a crucial role in personal growth across various aspects of life, professional pursuits, individual success, family dynamics, and love compatibility. Analyzing handwriting is a vital method for understanding one's personality traits. Yet, the significance of a signature surpasses regular handwriting, holding four times its weight. Personality encompasses thoughts, behaviors, emotions, and desires, profoundly shaping an individual's success. Graphology, a scientific discipline, explores these traits by examining both handwriting and signatures, offering valuable insights into human character. Graphologists utilize these analyses to gain deeper insights into an individual's character. Signatures serve as public representations of a person, offering valuable glimpses into their social and external lives, thereby aiding individuals in gaining a profound understanding of themselves. This paper aims to employ machine learning in conjunction with graphology techniques to predict personality traits and provide insights into one's life.
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References
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.
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).
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.
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.
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.
Lokhande VR, Gawali BW. Analysis of signature for the prediction of personality traits. In: 2017 1st international conference on intelligent systems and information management (ICISIM); 2017 (pp. 44–49). IEEE.
Bhade V, Baraskar T. A model for determining personality by analyzing off-line handwriting. In: Advances in machine learning and data science: recent achievements and research directives; 2018 (pp. 345–354). Springer Singapore.
Gavrilescu M. Study on determining the Myers-Briggs personality type based on individual's handwriting. In: 2015 E-Health and Bioengineering Conference (EHB); 2015 (pp. 1–6). IEEE.
Bolan S, Shijian L, Tan CL. A self-training learning document binarization framework. In: 2010 20th international conference on pattern recognition; 2010 (pp. 3187–3190). IEEE.
Park K, Chae M, Cho JH. Image pre-processing method of machine learning for edge detection with image signal processor enhancement. Micromachines. 2021;12(1):73. https://doi.org/10.3390/mi12010073.
Plamondon R, Srihari SN. Online and off-line handwriting recognition: a comprehensive survey. IEEE Trans Pattern Anal Mach Intell. 2000;22(1):63–84.
Chen Z, Lin T. Automatic personality identification using writing behaviours: an exploratory study. Behav Inform Technol. 2017;36(8):839–45.
Liu CL. Normalization-cooperated gradient feature extraction for handwritten character recognition. IEEE Trans Pattern Anal Mach Intell. 2007;29(8):1465–9.
Xiao S, Peng L, Yan R, Wang S. Deep network with pixel-level rectification and robust training for handwriting recognition. SN Comput Sci. 2020;1:1–13.
Ali AAA, Suresha M. Survey on segmentation and recognition of handwritten Arabic script. SN Comput Sci. 2020;1(4):192.
Bal A, Saha R. An improved method for handwritten document analysis using segmentation, baseline recognition and writing pressure detection. Proc Comput Sci. 2016;93:403–15.
Gupta JD, Chanda B. Novel methods for slope and slant correction of off-line handwritten text word. In: 2012 Third international conference on emerging applications of information technology; 2012 (pp. 295–298). IEEE.
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Sharma, D., Parashar, V. & Parashar, A. Identification of Personality Traits by Machine Learning Analysis of Signatures and Handwriting. SN COMPUT. SCI. 5, 497 (2024). https://doi.org/10.1007/s42979-024-02798-1
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DOI: https://doi.org/10.1007/s42979-024-02798-1