Showing papers on "Graphology published in 2021"
12 Aug 2021
TL;DR: In this article, a deep learning classifier was used to classify the specific type of t and i patterns in handwritten documents using convolutional neural network (CNN) to extract the features extracted from T and i handwriting patterns.
Abstract: Graphology is a method of assessment of human personality from individual's handwriting style. The personality in terms of various attributes like fear, honesty, work habits, social skills etc. can be profiled using Graphology. The personality profiling is based on various features like line spacing, margins, slant, letter size, text density etc. Letter t and i are very important personality trait indicators in graphology. Letter t is an indicator of will in individuals. Letter i is an indicator of social connectivity in individuals. This work proposes a deep learning classifier to classify the specific type of t and i patterns. Convolutional neural network is trained to extract the t and i features. The features extracted from t and i handwriting patterns are classified using the ensemble of Deep learning classifier. The performance of the proposed ensemble classification is tested against different handwritten documents. The proposed solution is able to achieve about 90% classification accuracy
2 citations
DOI•
06 Oct 2021
TL;DR: In this article, a basic personality test was applied to the users who voluntarily participated in the study, some distinctive writing characteristics were extracted from the text samples taken from the same users, and machine learning-based prediction models were developed based on the features constructed over these font characteristics.
Abstract: In the field of graphology, the fundamental idea is to establish a connection between the handwriting style of people and their personality traits. In this study, an analysis was made on the science of graphology using machine learning and psychology. A basic personality test was applied to the users who voluntarily participated in our study, some distinctive writing characteristics were extracted from the text samples taken from the same users, and machine learning-based prediction models were developed based on the features constructed over these font characteristics. Here, the aim is to examine how successful matching can be implemented automatically from the user's writing style with regard to personality analysis. The results show that even though not very sensitive, the personality traits can be predicted to a certain extent from the writing style by the machine learning models.
1 citations
TL;DR: Kinsella's three-volume Graphology Poetry as discussed by the authors constitutes a major and shifting set of poetic statements, partly a discontinuous poetic chronicle of life in Western Australia's Avo...
Abstract: John Kinsella’s three-volume Graphology Poems: 1995–2015 (2016) constitutes a major and shifting set of poetic statements. Partly a discontinuous poetic chronicle of life in Western Australia’s Avo...
Journal Article•
TL;DR: A characteristic is often recognized through several handwriting features like size of letters, pen pressure, baseline, top margin, slant of letters as mentioned in this paper, etc. Graphology is the methodology as understanding and evaluates along with grab the writer's traits through the configuration, and structure of the word within the handwriting.
Abstract: Handwriting is solitary of the individual characteristics to express all the things in ours mind, to speak with one another. Handwriting expose actual characters including behavior, psychological expenditure, self-respect, temper, fears, honesty, creativity, uprightness, anxiety, defense and plenty of other personality traits. Graphology is the methodology as understanding and evaluates along with grab the writer’s traits through the configuration, and structure of the word within the handwriting. A Characteristic is often recognizing through several handwriting features like size of letters, pen pressure, baseline, top margin, slant of letters
DOI•
24 Apr 2021
TL;DR: The authors analyzed epitaphs written by Thomas Moore for the memory of Rupert Southey, the epitaph is analysed linguistically and stylistically on four levels graphology, phonology, morphology, and lexico-syntax level to explore the elements that the writer uses the most at each level.
Abstract: This research aims at analysing epitaphs written by Thomas Moore for the memory of Rupert Southey, the epitaph is analysed linguistically and stylistically on four levels graphology, phonology, morphology, and lexico-syntax level to explore the elements that the writer uses the most at each level. Bearing in mind Nowottny approach (1962) (to text analysis) who believes that the linguistic analysis of a literary text is not just a marginal but a necessity” (Bakuuro etal., 2018:34). The researcher has selected and analysed a written epitaph of famous individual associated with English, literature. The study involves both literary and linguistic analysis, with much more concentration through the analysis on the aspect of linguistics. In fact, in order for stylistic analysis of literary texts to be good it needs to in volve linguistic analysis and this for the purpose of making the analysis standard and is targeted to unveil the author’s ‘full style’. Based on the results of data analysis, certain remarkable points have arisen. The most important result that has been achieved is that on the level of Graphology, the poet mostly used the punctuation Marks, while the most used device on the phonological level was the rhyme. Furthermore, the findings show that on the morphological level the writer mainly used suffixes.While on the levels of lexicosyntax and parts of the speech, anastrophe and prepositions were mainly used.
27 Jul 2021
TL;DR: In this paper, the authors used the ArcTan geometric formula to determine the angle of slanted of the line of the basic handwriting of a person's handwriting to identify their personality traits and characteristics towards emotional individuals with optimistic and pessimistic characters.
Abstract: Handwriting analysis, commonly referred to as Graphology, can reflect a person's personality because writing movements are controlled by the brain, which contains memories about various life experiences and stored in the subconscious. Currently, the process of identifying human personality through handwriting or Graphology is still performed manually. This process requires a reference book to analyze every aspect of a person's handwriting. As well as the baseline pattern of handwriting, still performed manually to decide whether it tends to be up, down, or straight. In this paper, the aspects studied were the primary writing lines to identify a person's personality traits and characteristics towards emotional individuals with optimistic and pessimistic characters. The test is carried out using the method classification of the ArcTan geometric formula to determine the angle of slanted of the line basic handwriting. System inputs were using handwriting samples obtained from 42 subjects, ranging from 19–27 years old. The system was designed to identify two classes of emotions, which are optimistic and pessimistic. Then three essential line aspects of handwriting, namely tend up, tend down, and straight, were classified according to the arctan geometric formula. The accuracy of this graphology system is 90.47%; it can be concluded that the system successfully identifies handwriting per 1 line or 1 page of HVS paper.
28 Jan 2021
TL;DR: In this article, the use of computer aided graphology in the field of aviation where the pilots are checked before the flight to determine whether they are psychologically/mentally fit to fly the plane.
Abstract: Graphology is the science of reading and analysing handwriting to detect the personality traits of a person. We have incorporated the concept of graphology with the use of computer systems, making the process of analysis faster, more reliable and cost efficient. This paper focuses on the use of computer aided graphology in the field of aviation where the pilots are checked before the flight to determine whether they are psychologically/mentally fit to fly the plane. There have been various cases in the past where the pilots had crashed the plane due to depression, stress, tension, fatigue, lack of sleep or intoxication. All of these can be majorly detected by graphological analysis as shown in this paper to prevent any such casualties.
TL;DR: It is suggested that the social and technical similarities between the two biometrics stem from the fact that they both measure and analyze handwriting, a term that describes all kinds of writing involving the hand, including penmanship, typewriting, and keyboarding.
Abstract: ABSTRACT:In this article, I provide a media archaeology of keystroke dynamics, a contemporary biometric that identifies users by their typing patterns. In particular, I compare keystroke dynamics to nineteenth-century graphology by way of Alphonse Bertillon, who argues that each person's handwriting is unique and thus suitable for identification purposes. Though the two biometrics analyze different kinds of writing, I argue that graphology and keystroke dynamics are in three ways permutations of each other: they both assume that writing patterns are "natural" and thus immutable; they understand writing as a discrete phenomenon and have similar technical structures; and they are classified as behavioral biometrics that are haunted by the physiological. I suggest that the social and technical similarities between the two biometrics stem from the fact that they both measure and analyze handwriting, a term that describes all kinds of writing involving the hand, including penmanship, typewriting, and keyboarding.