Deep Learning for hand segmen tation in complex backgrounds

Peter Corcoran

doi:http://hdl.handle.net/10379/16683

Deep Learning for hand segmen tation in complex backgrounds

Peter Corcoran

Electrical & Electronic Engineering

Research output: Chapter in Book or Conference Publication/Proceeding › Conference Publication › peer-review

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 language	English (Ireland)
Title of host publication	2018 IEEE INTERNATIONAL CONFERENCE ON CONSUMER ELECTRONICS (ICCE)
Publisher	IEEE
DOIs	https://doi.org/http://hdl.handle.net/10379/16683
Publication status	Published - 1 Jan 2018

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

Authors
Ungureanu, AS;Bazrafkan, S;Corcoran, P

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http://hdl.handle.net/10379/16683

Cite this

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title = "Deep Learning for hand segmen tation in complex backgrounds",

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.",

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AB - 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.

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Deep Learning for hand segmen tation in complex backgrounds

Abstract

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

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