Bio-inspired hybrid face recognition system for small sample size and large dataset Razzak, Muhammad Imran, Khan, Muhammad Khurram and Alghathbar, Khaled 2010, Bio-inspired hybrid face recognition system for small sample size and large dataset, in IIHMSP 2010 : Proceedings of the 6th International Conference on Intelligent Information Hiding and Multimedia Signal Processing, IEEE, Piscataway, N.J., pp. 384-388, doi: 10.1109/IIHMSP.2010.99. Attached Files Name Description MIMEType Size Downloads Title Bio-inspired hybrid face recognition system for small sample size and large dataset Author(s) Razzak, Muhammad Imran orcid.org/0000-0002-3930-6600 Khan, Muhammad Khurram Alghathbar, Khaled Conference name Intelligent Information Hiding and Multimedia Signal Processing. International conference (6th : 2010 : Darmstadt, Germany) Conference location Darmstadt, Germany Conference dates 2010/10/15 - 2010/10/17 Title of proceedings IIHMSP 2010 : Proceedings of the 6th International Conference on Intelligent Information Hiding and Multimedia Signal Processing Publication date 2010 Start page 384 End page 388 Total pages 5 Publisher IEEE Place of publication Piscataway, N.J. Keyword(s) Recognition Biometrics GL- LDA BioInspired Face Recognition SSS Problem ISBN 9780769542225 Language eng DOI 10.1109/IIHMSP.2010.99 Indigenous content off HERDC Research category EN.1 Other conference paper Persistent URL http://hdl.handle.net/10536/DRO/DU:30132891 Document type: Conference Paper Collections: Faculty of Science, Engineering and Built Environment School of Information Technology Related Links Link Description Connect to published version Go to link with your DU access privileges     Unless expressly stated otherwise, the copyright for items in DRO is owned by the author, with all rights reserved. Versions Version Filter Type Thu, 05 Dec 2019, 11:05:21 EST Fri, 06 Dec 2019, 04:00:36 EST Fri, 06 Dec 2019, 05:04:06 EST Tue, 01 Dec 2020, 11:18:48 EST Tue, 01 Dec 2020, 11:20:36 EST Filtered Full Citation counts:   Cited 0 times in TR Web of Science Cited 6 times in Scopus Search Google Scholar Access Statistics: 20 Abstract Views, 0 File Downloads  -  Detailed Statistics Created: Thu, 05 Dec 2019, 11:05:21 EST

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