Book ChapterDOI
A Model for Determining Personality by Analyzing Off-line Handwriting
Vasundhara Bhade,Trupti Baraskar +1 more
- pp 345-354
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TLDR
The proposed system can predict 90% accurate personality of the person using the proposed three main steps: image preprocessing, identification of handwriting features, and mapping of identified features with personality traits.Abstract:
Handwriting analysis is the scientific method or way of determining or understanding or predicting the personality or behavior of a writer. Graphology or graph analysis is the scientific name of handwriting analysis. Handwriting often called as brain writing or mind writing, since it is a system of studying the frozen graphic structures which have been generated in the brain and placed on paper in a printed or cursive style. Many things can be revealed from handwriting such as anger, morality, fears, past experience, hidden talents, mental problems. Handwriting is different from person to person. People are facing various psychological problems. Teenagers also face so many mental problems. Criminals can be detected by using handwriting analysis. Counselor and mentor can also use this tool for giving advice to clients. Proposed work contains three main steps: image preprocessing, identification of handwriting features, and mapping of identified features with personality traits. Image pre-processing is the technique in which the handwriting sample is translated into a format which can be easily and efficiently processed in further steps. These steps involve noise removal, grayscale, thresholding, and image morphology. In feature identification, there is an extraction of handwriting features. Three features of handwriting are extracted that are left margin, right margin, and word spacing. Lastly, extracted features are mapped with personality using the rule-based technique. The personality of a writer with respect to three handwriting features is displayed. The proposed system can predict 90% accurate personality of the person.read more
Citations
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Proceedings ArticleDOI
Personality Prediction based on Handwriting using Machine Learning
TL;DR: The complete system evaluates the handwriting samples based on the above-mentioned handwriting styles and it is divided into four modules with the primary module being the input where the image of handwritten text is taken from the user that is followed by image pre-processing that removes noise and sharpens the contrast of the image for better results.
Journal ArticleDOI
Automated handwriting analysis based on pattern recognition: a survey
TL;DR: The purpose of this paper is to present a review of the methods and their achievements used in various stages of a pattern recognition system, in which different stages are described.
Journal ArticleDOI
Machine Learning Algorithms for Detection and Classifications of Emotions in Contact Center Applications
Mirosław Płaza,Sławomir Trusz,Justyna Kęczkowska,Ewa Boksa,Sebastian Sadowski,Zbigniew Koruba +5 more
TL;DR: An Emotion Classification for Machine Detection of Affect-Tinged Conversational Contents dedicated directly to the Contact Center industry is developed and confirmed the usefulness of the proposed classification.
Proceedings ArticleDOI
Analysis of Personality Traits of Handwriting with Comparison of Different Techniques of Personality Detection
TL;DR: In this article , a detailed review of many parameters of handwriting which are examined for personality prediction is presented, including baseline, strokes and strokes of a writer, which demonstrate psychological characteristics of the writer.
Proceedings ArticleDOI
Detection of Handwriting Characteristics using Convolutional Neural Networks
Daniel Gagiu,Dorin Sendrescu +1 more
TL;DR: In this article , the authors presented an application based on image processing techniques that use deep neural networks in the field of psychology, which automates the well-known methods of determining the main personality traits using graphological analysis (handwriting analysis).
References
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Proceedings ArticleDOI
Automated Human Behavior Prediction through Handwriting Analysis
H.N. Champa,K.R. AnandaKumar +1 more
TL;DR: In this paper, a method has been proposed to predict the personality of a person from the baseline, the pen pressure, the letter t, the lower loop of letter y and the slant of the writing as found in an individual's handwriting.
Journal ArticleDOI
An Improved Method for Handwritten Document Analysis Using Segmentation, Baseline Recognition and Writing Pressure Detection
Abhishek Bal,Rajib Saha +1 more
TL;DR: This research proposed an off-line handwritten document analysis through segmentation, skew recognition and writing pressure detection for cursive handwritten document through modified horizontal and vertical projection that can segment the text lines and words even if the presence of overlapped and multi-skewed text lines.
Proceedings ArticleDOI
Application image processing to predict personality based on structure of handwriting and signature
TL;DR: Using graphical approach based on a combination of signature and handwriting to predict the more personality using structure algorithms and multiple artificial neural networks (ANN).
Proceedings ArticleDOI
Graphological Analysis of Handwritten Text Documents for Human Resources Recruitment
TL;DR: This paper presents a model that links features from handwritten images to a number of personality characteristics used to measure applicant aptitudes for the job in a particular hiring scenario using a model of measuring active personality and leadership of the writer.
Proceedings ArticleDOI
Automatic Emotion Recognition through Handwriting Analysis: A Review
TL;DR: The main objective of this paper is to analyze the handwriting characteristics like Baseline, Slant, Pen-Pressure, Size, Margin and Zone to determine the emotion levels of a person to help identifying those people who are emotionally disturbed or depressed and need psychological help to overcome such negative emotions.
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