Deep learning for hand segmentation in complex backgrounds

Ungureanu, Adrian-Stefan, Bazrafkan, Shabab, & Corcoran, Peter. (2018). Deep learning for hand segmentation in complex backgrounds. Paper presented at the 2018 IEEE International Conference on Consumer Electronics (ICCE), Las Vegas, NV, USA, 02-14 January.

Abstract

This paper presents a Deep Learning segmentation approach for hand segmentation in gray level images with cluttered backgrounds where standard techniques cannot be used. Two networks were trained with a database of hand images derived from widely used palmprint image databases, Hong Kong Polytechnic University (HKPU) and Chinese Academy of Science (CASIA). The image dataset is augmented with complex patterns and used to train and test the Neural Networks, providing promising results.

Publisher

Institute of Electrical and Electronics Engineers

Rights

Attribution-NonCommercial-NoDerivs 3.0 Ireland

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Collections

Electrical and Electronic Engineering (Conference Papers)