Analyzing Various Handwriting Recognition Phenomenon for Predicting Gender, Age and Handedness
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Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-23724-9_21
Reference15 articles.
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2. Ahmed, M., Rasool, A.G., Afzal, H., Siddiqi, I.: Improving handwriting based gender classification using ensemble classifiers. Expert Syst. Appl. 85, 158–168 (2017). https://doi.org/10.1016/j.eswa.2017.05.033
3. Gattal, A., Djeddi, C., Siddiqi, I., Chibani, Y.: Gender classification from offline multi-script handwriting images using oriented Basic Image Features (oBIFs). Expert Syst. Appl. 99, 155–167 (2018). https://doi.org/10.1016/j.eswa.2018.01.038
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1. Hybrid machine learning techniques for gender identification from handwritten images using textural features;Soft Computing;2023-07-06
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