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Graphology

About: Graphology is a research topic. Over the lifetime, 214 publications have been published within this topic receiving 2492 citations.


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Journal ArticleDOI
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

Proceedings ArticleDOI
28 Jul 2015
TL;DR: In this paper, the authors show that learners involved in an educational process can control an optimized communication that improves their relationships and strengths their knowledge and self-knowledge if they are involved in training process in micro-expressions and graphology fields.
Abstract: During last years the communication topic between student and teacher become very important. The aim is to make the learner to become aware about him, during the educational program and to adjust teacher behavior to accomplish his mission. The selfknowledge and self-control usefulness of the actors involved in the educational process is visible within a known and controlled training process and within socio-cultural relationships. The teacher competence to attract attention regarding his profession depends on his professional experience. In case when the educational context requires, teacher guides by words the learner about his activity. Nevertheless the guidance by words is not a single tool able to strength the relation of communication and to train the learner. So teacher has to use another ways to facilitate the behavioral self-regulation of his learners. Teachers could use some tools he often ignores them because during his own training these were not presented as fundamental. We observed systematically micro expressions and handwritten texts from a relevant group of subjects having different ages and we analyzed learners and teacher’s reactions, and relationships between pupils and teachers. Results of this research demonstrate that learners involved in an educational process can control an optimized communication that improve their relationships and strengths their knowledge and self-knowledge if they are involved in training process in micro-expressions and graphology fields.

2 citations

28 Dec 2019
TL;DR: It is concluded that forensic graphology as a criminal investigation technique, strengthen internal control based on the criminal performance of the employees of the organization, so that the necessary strategic measures are taken from person profile to job profile.
Abstract: Currently, organizations are at different types of fraud, the same that are committed by people who are inside the organization, and any that have gone through a selection process, which - on many occasions - has not talked with internal control processes, specific in this way, that organizations do not act adequately in the face of risk management, specific to economic-financial risk. Therefore, this article aims to show the importance of forensic graphology in the modification of internal control, from the proper use of techniques, can make a criminal profiling from the psychological perspective. The investigation is descriptive explanatory, since it seeks to show the importance of graphology - as a criminal investigation technique - in the criminal profiling of postulates at a specific charge. As a result, it was found that although forensic auditing is a science that is responsible for detecting and preventing financial crimes and graphology, it is the tool that contributes to this end, neither of them, is introjected into the people they occupy Senior management of organizations. In addition to this it is concluded that forensic graphology as a criminal investigation technique, strengthen internal control based on the criminal performance of the employees of the organization, so that the necessary strategic measures are taken from person profile to job profile The strategies that are currently implemented in organizations for the selection of personnel have been applied in some obsolete way; The psychological, labor and criminal profiling are aspects that must be taken into account when hiring a subject who is presented as suitable for the position to achieve a certain prevention towards the minimization of specific crimes in the financial or computer sector. The elaboration of strategic dimensions can be based on a psychometric test with an emphasis on graphology related to the organizational area of ​​the financial and IT sector, in which, when hiring personnel, it is essential to detect the criminal profile of the applicant and in this way to be able to discard it, place it or relocate it in a position that fits the profile thrown and can perform its work favorably.

2 citations

Proceedings ArticleDOI
14 Aug 1995
TL;DR: An observation method for mathematical graphology is proposed, which is the first stage in the model, based on the physiological saccade phenomena, and contours between adjacent feature points are approximated using smooth functions.
Abstract: An observation method for mathematical graphology is proposed. The motivation of mathematical graphology is to realize graphological information processing on a machine. Furthermore, mathematical graphology aims to construct a new information theory for visual communication. In order to construct the mathematical model this paper focuses on the observation process, which is the first stage in the model. Based on the physiological saccade phenomena, feature points are extracted which include the important information. Then, contours between adjacent feature points are approximated using smooth functions. The performance of the proposed method is verified by experiments.

2 citations


Network Information
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Performance
Metrics
No. of papers in the topic in previous years
YearPapers
20218
20208
201915
201812
201712
20168