Handwriting-based gender and handedness classification using convolutional neural networks
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DOI: 10.1007/s11042-020-10170-7
Abstract: Demographical handwritings classification has many applications in various disciplines such as biometrics forensics, psychology, archeology, etc. Finding the best features for differentiating subclasses (e.g. men and women) is one of the major problems in handwriting… read more here.
Keywords: neural networks; classification using; handedness classification; classification ... See more keywords