2018 IEEE INTERNATIONAL CONFERENCE ON CONSUMER ELECTRONICS (ICCE)

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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.
Original languageEnglish (Ireland)
Title of host publicationDeep Learning for hand segmen tation in complex backgrounds
Publication statusPublished - 1 Jan 2018

Authors (Note for portal: view the doc link for the full list of authors)

  • Authors
  • Ungureanu, AS,Bazrafkan, S,Corcoran, P,Mohanty, SP,Corcoran, P,Li, H,Sengupta, A,Lee, JH

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