Exposing postprocessed copy–paste forgeries through transform-invariant features P Kakar, N Sudha IEEE transactions on information forensics and security 7 (3), 1018-1028, 2012 | 167 | 2012 |
Obstacle detection and classification using deep learning for tracking in high-speed autonomous driving G Prabhakar, B Kailath, S Natarajan, R Kumar 2017 IEEE region 10 symposium (TENSYMP), 1-6, 2017 | 151 | 2017 |
Exposing digital image forgeries by detecting discrepancies in motion blur P Kakar, N Sudha, W Ser IEEE Transactions on Multimedia 13 (3), 443-452, 2011 | 114 | 2011 |
Robust Hausdorff distance measure for face recognition N Sudha Pattern Recognition 40 (2), 431-442, 2007 | 77 | 2007 |
Efficient segmentation technique for noisy frontal view iris images using Fourier spectral density NB Puhan, N Sudha, A Sivaraman Kaushalram Signal, Image and Video Processing 5, 105-119, 2011 | 64 | 2011 |
Iris recognition on edge maps N Sudha, NB Puhan, H Xia, X Jiang IET computer vision 3 (1), 1-7, 2009 | 64 | 2009 |
A self-configurable systolic architecture for face recognition system based on principal component neural network N Sudha, AR Mohan, PK Meher IEEE transactions on circuits and systems for video technology 21 (8), 1071-1084, 2011 | 57 | 2011 |
A novel iris database indexing method using the iris color NB Puhan, N Sudha 2008 3rd IEEE Conference on Industrial Electronics and Applications, 1886-1891, 2008 | 41 | 2008 |
Hardware-efficient image-based robotic path planning in a dynamic environment and its FPGA implementation N Sudha, AR Mohan IEEE Transactions on Industrial Electronics 58 (5), 1907-1920, 2010 | 40 | 2010 |
Traffic sign recognition using weighted multi‐convolutional neural network S Natarajan, AK Annamraju, CS Baradkar IET Intelligent Transport Systems 12 (10), 1396-1405, 2018 | 39 | 2018 |
Real-time SURF-based video stabilization system for an FPGA-driven mobile robot TN Shene, K Sridharan, N Sudha IEEE Transactions on Industrial Electronics 63 (8), 5012-5021, 2016 | 39 | 2016 |
Gray Hausdorff distance measure for comparing face images EP Vivek, N Sudha IEEE Transactions on Information Forensics and Security 1 (3), 342-349, 2006 | 34 | 2006 |
Deeprange: deep‐learning‐based object detection and ranging in autonomous driving Y Parmar, S Natarajan, G Sobha IET Intelligent Transport Systems 13 (8), 1256-1264, 2019 | 31 | 2019 |
Robust eyeball segmentation in noisy iris images using fourier spectral density NB Puhan, N Sudha, X Jiang 2007 6th International Conference on Information, Communications & Signal …, 2007 | 31 | 2007 |
A new iris liveness detection method against contact lens spoofing NB Puhan, N Sudha, S Hegde 2011 IEEE 15th International Symposium on Consumer Electronics (ISCE), 71-74, 2011 | 29 | 2011 |
Fast face detection using boosted eigenfaces AR Mohan, N Sudha 2009 IEEE Symposium on Industrial Electronics & Applications 2, 1002-1006, 2009 | 22 | 2009 |
A parallel algorithm to construct Voronoi diagram and its VLSI architecture N Sudha, S Nandi, K Sridharan Proceedings 1999 IEEE International Conference on Robotics and Automation …, 1999 | 22 | 1999 |
Verifying temporal data in geotagged images via sun azimuth estimation P Kakar, N Sudha IEEE Transactions on Information Forensics and Security 7 (3), 1029-1039, 2012 | 21 | 2012 |
A principal component neural network-based face recognition system and ASIC implementation CSS Prasanna, N Sudha, V Kamakoti 18th International Conference on VLSI Design held jointly with 4th …, 2005 | 17 | 2005 |
Detecting digital image forgeries through inconsistent motion blur P Kakar, S Natarajan, W Ser 2010 IEEE International Conference on Multimedia and Expo, 486-491, 2010 | 16 | 2010 |