Leveraging Handwriting For Gender and Handedness Prediction Using Various Machine Learning Approaches

Volume 20 No 7 (2022)

Ayushi Agarwal, Mala Saraswat, Aditi Arora

DOI: 10.14704/nq.2022.20.7.NQ33060

Abstract

Identifying the basic human traits is not an easy task to accomplish. Various approaches had been adopted previously to predict different traits like; gender, age, handedness, ethnicity,nationality, behavior and many more by handwriting recognition. Here in this research gender and handedness is predicted in isolation by recognizing the handwriting

Keywords

Machine Learning, Deep Learning, Convolutional Neural Networks (CNN),accuracy, predictions.

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