| Adaptive dissimilarity index for measuring time series proximity AD Chouakria, PN Nagabhushan Advances in Data Analysis and Classification 1, 5-21, 2007 | 198 | 2007 |
| A simple and robust line detection algorithm based on small eigenvalue analysis DS Guru, BH Shekar, P Nagabhushan Pattern Recognition Letters 25 (1), 1-13, 2004 | 198 | 2004 |
| A new scheme for unconstrained handwritten text-line segmentation A Alaei, U Pal, P Nagabhushan Pattern Recognition 44 (4), 917-928, 2011 | 141 | 2011 |
| Multivalued type proximity measure and concept of mutual similarity value useful for clustering symbolic patterns DS Guru, BB Kiranagi, P Nagabhushan Pattern Recognition Letters 25 (10), 1203-1213, 2004 | 138 | 2004 |
| One-class support vector classifiers: A survey S Alam, SK Sonbhadra, S Agarwal, P Nagabhushan Knowledge-Based Systems 196, 105754, 2020 | 134 | 2020 |
| Skew detection in binary image documents based on image dilation and region labeling approach BV Dhandra, VS Malemath, H Mallikarjun, R Hegadi 18th International Conference on Pattern Recognition (ICPR'06) 2, 954-957, 2006 | 107 | 2006 |
| Unleashing the power of disruptive and emerging technologies amid COVID-19: A detailed review S Agarwal, NS Punn, SK Sonbhadra, M Tanveer, P Nagabhushan, ... arXiv preprint arXiv:2005.11507, 2020 | 104 | 2020 |
| Camouflage defect identification: a novel approach NU Bhajantri, P Nagabhushan 9th International Conference on Information Technology (ICIT'06), 145-148, 2006 | 94 | 2006 |
| (2D) 2 FLD: An efficient approach for appearance based object recognition P Nagabhushan, DS Guru, BH Shekar Neurocomputing 69 (7-9), 934-940, 2006 | 66 | 2006 |
| Target specific mining of COVID-19 scholarly articles using one-class approach SK Sonbhadra, S Agarwal, P Nagabhushan Chaos, Solitons & Fractals 140, 110155, 2020 | 63 | 2020 |
| Dataset and ground truth for handwritten text in four different scripts A Alaei, U Pal, P Nagabhushan International Journal of Pattern Recognition and Artificial Intelligence 26 …, 2012 | 63 | 2012 |
| Identification and separation of text words of Kannada, Hindi and English languages through discriminating features MC Padma, P Nagabhushan Proc. of NCDAR, 252-260, 2003 | 60 | 2003 |
| A robust color image watermarking scheme using discrete wavelet transformation KJ Giri, MA Peer, P Nagabhushan IJ Image, Graphics and Signal Processing 1 (7), 47-52, 2015 | 59 | 2015 |
| Using modified contour features and SVM based classifier for the recognition of Persian/Arabic handwritten numerals A Alaei, U Pal, P Nagabhushan 2009 seventh international conference on advances in pattern recognition …, 2009 | 59 | 2009 |
| A benchmark Kannada handwritten document dataset and its segmentation A Alaei, P Nagabhushan, U Pal 2011 International Conference on Document Analysis and Recognition, 141-145, 2011 | 56 | 2011 |
| Script identification based on morphological reconstruction in document images BV Dhandra, P Nagabhushan, M Hangarge, R Hegadi, VS Malemath 18th International Conference on Pattern Recognition (ICPR'06) 2, 950-953, 2006 | 54 | 2006 |
| Automatic extraction of texture-periodicity using superposition of distance matching functions and their forward differences V Asha, P Nagabhushan, NU Bhajantri Pattern Recognition Letters 33 (5), 629-640, 2012 | 51 | 2012 |
| Boundary based corner detection and localization using new'cornerity'index: A robust approach DS Guru, R Dinesh, P Nagabhushan First Canadian Conference on Computer and Robot Vision, 2004. Proceedings …, 2004 | 51 | 2004 |
| A review on document image analysis techniques directly in the compressed domain M Javed, P Nagabhushan, BB Chaudhuri Artificial Intelligence Review 50 (4), 539-568, 2018 | 49 | 2018 |
| Triangular spatial relationship: a new approach for spatial knowledge representation DS Guru, P Nagabhushan Pattern Recognition Letters 22 (9), 999-1006, 2001 | 49 | 2001 |
D S GuruProfessor of Computer Science, University of MysoreEmail verificata su compsci.uni-mysore.ac.in