Personality Trait with E-Graphologist

被引:0
|
作者
Shete, Pranoti S. [1 ]
Thengade, Anita [2 ]
机构
[1] MIT World Peace Univ, Pune, Maharashtra, India
[2] MIT Coll Engn, Pune, Maharashtra, India
关键词
Signature analysis; Personality prediction; Graphology; Artificial neural network; Human personality; Personality; Signature; Margin; Aspect Ratio; Difference between the first and last letter of the signature; Pen-pressure; RECOGNITION;
D O I
10.1007/978-3-030-37218-7_14
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Signature analysis helps in analyzing and understanding individual's personality. Graphology is the scientific technique that helps us predict the writer's personality. Different types of strokes and patterns in writer's signature are considered for predicting their personality trait. Social skills, achievements, work habits, temperament, etc. can be predicted by using the writer's signature. It helps us in understanding the person in a better way. As signature is directly related and develops a positive impact on your social life, personal life as well as for your career it is essential to practice correct signature for good results. The main objective here is predicting authors personality trait based on features such as Skewness, Pen Pressure, Aspect Ratio, Margin, and the difference between the first and last letter of the signature. As your signature has a direct impact on any of your assets and career, the proposed system will also provide suggestions for improvement in the signature if needed. This research paper proposes an offline signature analysis. We have created our own dataset for the analysis purpose. We have also provided them with some questionnaire to check the accuracy of the proposed system.
引用
收藏
页码:120 / 130
页数:11
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