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Handwriting Styles: Benchmarks and Evaluation Metrics
2018
2018 Fifth International Conference on Social Networks Analysis, Management and Security (SNAMS)
Extracting styles of handwriting is a challenging problem, since the style themselves are not well defined. It is a key component to develop systems with more personalized experiences for humans. In this paper, we propose baseline benchmarks, in order to set anchors to estimate the relative quality of different handwriting style methods. This will be done using deep learning techniques, which have shown remarkable results in different machine learning tasks, learning classification, regression,
doi:10.1109/snams.2018.8554834
dblp:conf/snams/MohammedBP18
fatcat:pltcborvyrbgteyoyck77vd5ti