TY - GEN
T1 - Deep learning for hand segmentation in complex backgrounds
AU - Ungureanu, Adrian Stefan
AU - Bazrafkan, Shabab
AU - Corcoran, Peter
N1 - Publisher Copyright:
© 2018 IEEE.
PY - 2018/3/26
Y1 - 2018/3/26
N2 - 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.
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.
UR - https://www.scopus.com/pages/publications/85048825837
U2 - 10.1109/ICCE.2018.8326319
DO - 10.1109/ICCE.2018.8326319
M3 - Conference Publication
T3 - 2018 IEEE International Conference on Consumer Electronics, ICCE 2018
SP - 1
EP - 2
BT - 2018 IEEE International Conference on Consumer Electronics, ICCE 2018
A2 - Mohanty, Saraju P.
A2 - Corcoran, Peter
A2 - Li, Hai
A2 - Sengupta, Anirban
A2 - Lee, Jong-Hyouk
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2018 IEEE International Conference on Consumer Electronics, ICCE 2018
Y2 - 12 January 2018 through 14 January 2018
ER -