Umair Mateen Khan - Google Scholar

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	All	Since 2016
Citations	29	8
h-index	3	1
i10-index	1	0

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20102011201220132014201520162017201820191 5 5 1 4 3 6 1 1

Co-authors

Brendan McCaneUniversity of OtagoVerified email at cs.otago.ac.nz
Andrew TrotmanComputer Science, University of OtagoVerified email at cs.otago.ac.nz
Naveed EjazDepartment of Computing, Iqra University, Islamabad, PakistanVerified email at iqraisb.edu.pk
Shoab KhanNational University of Sciences and Technology (NUST)Verified email at carepvtltd.com
Steven MillsDepartment of Computer Science, University of OtagoVerified email at cs.otago.ac.nz

Umair Mateen Khan

Umair Mateen Khan

Otago University, New Zealand

Verified email at cs.otago.ac.nz


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
A fingerprint verification system using minutiae and wavelet based features UM Khan, SA Khan, N Ejaz, R ur Rehman 2009 International Conference on Emerging Technologies, 291-296, 2009	21	2009
A feature compression scheme for large scale image retrieval systems UM Khan, B McCane, A Trotman Proceedings of the 27th Conference on Image and Vision Computing New Zealand …, 2012	4	2012
Emergent semantic patterns in large scale image dataset: A datamining approach UM Khan, B McCane, A Trotman 2012 International Conference on Digital Image Computing Techniques and …, 2012	3	2012
Emergent Properties from Feature Co-occurrence in Image Collections UM Khan, S Mills, B McCane, A Trotman 2014 22nd International Conference on Pattern Recognition, 2347-2352, 2014	1	2014
Unsupervised Detection of Emergent Patterns in Large Image Collections UM Khan University of Otago, 2017		2017

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Articles 1–5