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Showing papers on "Graphology published in 2020"


Journal ArticleDOI
TL;DR: An automatic method by analysing a few handwritten English lowercase characters from a to z to identify person behaviours by extracting structural features from different zones of isolated character images to derive the hypothesis based on a dictionary of Graphological rules.

78 citations


DOI
01 Dec 2020
TL;DR: A novel algorithm is proposed to analyze an individual’s personality by breaking it down into the Big Five Personality Traits using their handwriting samples, and it is shown that the novel algorithm performs better than the baseline Machine Learning models.
Abstract: Handwriting Analysis has been used for a very long time to analyze an individual’s suitability for a job, and is in recent times, gaining popularity as a valid means of a person’s evaluation. Extensive Research has been done in the field of determining the Personality Traits of a person through handwriting. We intend to analyze an individual’s personality by breaking it down into the Big Five Personality Traits using their handwriting samples. We present a dataset that links personality traits to the handwriting features. We then propose our algorithm - consisting of one ANN based model and PersonaNet, a CNN based model. The paper evaluates our algorithm’s performance with baseline machine learning models on our dataset. Testing our novel architecture on this dataset, we compare our algorithm based on various metrics, and show that our novel algorithm performs better than the baseline Machine Learning models.

7 citations


Proceedings ArticleDOI
01 Feb 2020
TL;DR: Comparison of various Machine learning algorithms used for personality analysis and writer identification with the accuracy of the algorithm is included.
Abstract: Graphology is a discipline used in the determination, study, and interpretation of a person's personality with the aid of spaces, curves, strokes in a handwritten text. According to Graphology, handwriting is nothing but expression of the subconscious mind. It expresses various personality traits like how honest a person is, how afraid the person is etc. For the purpose of analysis, the services of professionals in this field called graphologists are employed. However, it results in increased cost and efficiency of analysis is completely dependent on the graphologist. This paper includes comparison of various Machine learning algorithms used for personality analysis and writer identification with the accuracy of the algorithm.

6 citations


Journal ArticleDOI
01 Jun 2020-Ntm
TL;DR: How psychologists, amateurs and actors in the police and in juridical fields positioned themselves in the 1920s and 1930s on the scientific nature of graphology is examined, focusing on court cases and the demarcation strategies used by the police against fraudulent amateur graphologists.
Abstract: In this article I examine how psychologists, amateurs and actors in the police and in juridical fields positioned themselves in the 1920s and 1930s on the scientific nature of graphology. Graphology, the study of the character from handwriting, was linked with the hope of providing reliable methods for the investigation of psychological states and dispositions. The essay argues that on an epistemic level two different models have been represented to support the scientific nature of graphology: for one thing resorting to the special individual skill, the “genius” of a graphologist; or rather depersonalized techniques predominantly based on statistics. Amateur graphologists used both of these forms. On a methodological level, I argue that in order to historicize the human sciences in general, and psychology in particular, it is useful to examine the translation processes that turn everyday interpretative practices (of facial expressions, dreams, handwriting) into scientific legitimate investigative procedures. In order to investigate precisely this translation process, it is useful to look at what Thomas Gieryn calls “boundary work” at the border between scientific and non-scientific interpretation practices, for which graphology is used here as an example. It is particularly illuminating to examine how representatives of the official sciences distinguish themselves from presumed “charlatans”, which is why the article focuses on court cases and the demarcation strategies used by the police against fraudulent amateur graphologists.

3 citations


Proceedings ArticleDOI
02 Jul 2020
TL;DR: A review of datasets, acquisition devices and preprocessing for offline and online systems followed by characters of handwriting like margins, slanting lines, upward writing, connected letters, speed and pressure points that deduce the writer's personality traits are proposed.
Abstract: Handwriting is a process of using letters and symbols that follows a set of guidelines to communicate with others. It is a behavioral biometric that requires verification system to discriminate whether a signature is genuine or forged. In this paper a review of datasets, acquisition devices and preprocessing for offline and online systems followed by characters of handwriting like margins, slanting lines, upward writing, connected letters, speed and pressure points that deduce the writer's personality traits are proposed. The current state of the art has been discussed along with the accuracy. Support Vector Machines, Hidden Markov Model, Neural Networks, Dynamic Time Wrapping algorithms and Symbolic Representations are the promising approaches that has been mentioned in the later part of the paper. The final division in the paper highlights the applications of this system such as -Identifying heart and Parkinson's diseases, signature analysis and psychological assessment specifically on emotional state at critical events.

2 citations


Book ChapterDOI
19 Oct 2020
TL;DR: Wartegg Drawing Completion Test (WDCT) is one of the most commonly used personality analysis tools of graphology, which is the mapping from the inside world to personal qualities as discussed by the authors.
Abstract: Wartegg Drawing Completion Test (WDCT) is one of the most commonly used personality analysis tools of graphology, which is the mapping from the inside world to personal qualities. It helps institutes or individuals to have a better knowledge of intrinsic personality characters. However, the WDCT evaluation of the applicants was manually performed by human experts, thus the accessibility and outcome of WDCT are heavily restricted by the availability and experience of the expert. To overcome such issues, this paper proposes the computer-aided WDCT (CA-WDCT) system, a fully-automatic WDCT system based on Digital Image Processing (DIP) and Machine Learning techniques. The CA-WDCT system extracts multimodal features and analyzes them under the Big-Five traits automatically. This CA-WDCT system can mitigate the heavy manual labour of psychologists and provide clients with flexible access.

1 citations



Proceedings ArticleDOI
03 Dec 2020
TL;DR: In this article, it was shown that a person's mind concentrates more when he or she is writing and that handwriting is an expression of the subconscious mind or through of individual's mind.
Abstract: An individual’s personality is the true mirror of an individual’s thoughts and qualifications as well as skill, physical strength, character, etc. Judging someone is the prime characteristic that happens when met someone or communicate with someone, it's human nature. The identification of such a personality relates to a person’s han dwriting. Writing is a good way of communication and the study of this field is included in graphology. This study shows that a person's mind concentrates more when he or she is writing. Handwriting is an expression of the subconscious mind or through of individual’s mind. There is a relation between handwriting and personality which is presented in this study. It also discusses the extracted features, challenges, application of handwriting analysis.