مطالب مرتبط با کلیدواژه

Handwriting


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Transcribing Craft (Warraqi) and Transcribers (Warraqan) in Islamic Civilization(مقاله علمی وزارت علوم)

تعداد بازدید : ۱۸۸ تعداد دانلود : ۲۱۲
There is probably no need for extensive exploration to believe that movable type invention had a tremendous and historical impact on expansion of science and emergence of renaissance in Europe, as tens of articles and research books have already been dedicated to this fact; but the real question which requires historical explanation is how the man before invention of printing had preserved his written inheritance or had passed it to his successors? The present article is actually an effort to answer this question in the realm of Islamic Civilization. In addition, this study while defining transcribing craft and mentioning the works copyists did, it also discussed the origins of this craft in Islamic Civilization. Then the crucial elements of transcribing such as handwriting, style of writing, methods of transcribing, social position of transcribing profession and copyists' earning, the success of copyists' business, and their verification and control by the government have been discussed, based on historical documents. Finally, a short list of some well-known copyists in Islamic Civilization are presented.
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A Deep Learning Based Analysis of the Big Five Personality Traits from Handwriting Samples Using Image Processing(مقاله علمی وزارت علوم)

کلیدواژه‌ها: computer vision Convolutional neural networks Artificial Neural Networks Machine Learning Big Five Personality Traits Handwriting Graphology

حوزه های تخصصی:
تعداد بازدید : ۲۳۱ تعداد دانلود : ۹۹
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.