A Model for Determining Personality by Analyzing Off-line Handwriting
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Publisher
Springer Singapore
Link
http://link.springer.com/content/pdf/10.1007/978-981-10-8569-7_35
Reference8 articles.
1. Kedar, S.V., Bormane, D.S., Dhadwal, A., Alone, S., Agarwal, R.: Automatic emotion recognition through handwriting analysis: a review. In: International Conference on Computing Communication Control and Automation (ICCUBEA), Pune, pp. 811–816, 26–27 Feb 2015
2. Coll, R., Fornes, A., Llados, J.: Graphological analysis of handwritten text documents for human resources recruitment. In: International Conference on Document Analysis and Recognition, pp. 1081–1085, 26–29 July 2009
3. Bal, A., Saha, R.: An improved method for handwritten document analysis using segmentation, baseline recognition and writing pressure detection. In: International Conference on Advances in Computing and Communications, Cochin, India, pp. 403–415, 6–8 Sept 2016
4. Likforman-Sulem, L., Esposito, A., Faundez-Zanuy, M., Clemencon. S.: Extracting style and emotion from handwriting. In: Advances in Neural Networks: Computational and Theoretical Issues. Smart Innovation, Systems and Technologies, vol. 37, pp. 347–355. Springer International Publishing, Switzerland (2015)
5. Djamal, E.C., Darmawati, R., Ramdlan, S.N.: Application image processing to predict personality based on structure of handwriting and signature. In: International Conference on Computer, Control, Informatics and Its Applications (IC3INA), Jakarta, pp. 163–168, 19–21 Nov 2013
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