Dr. Niladri Bihari PuhanAssociate Professor
School of Electrical Sciences
(Electronics & Communication Engineering)

Research Interests

  • Signal and Image Processing
  • Computer Vision
  • Machine Learning & Deep Learning
  • Medical Image Analysis
  • Biometrics

Contact Details

  • Room No. 217, SES building, Arugul Campus, IIT Bhubaneswar, 752050
  • +91-674-713-5734
  • nbpuhan[At]iitbbs.ac.in, nbpuhan[At]gmail.com

Other Profile Link(s)

Education

 Degree Discipline Year School
 PhD & Postdoc Image Processing 2002-2009 Nanyang Technological University, Singapore
 M.E. Signal Processing 2000-2002 Indian Institute of Science, Bangalore
 B.E. Electrical Engineering 1996-2000 University College of Engineering, Burla
 

Biosketch

Dr. Niladri B. Puhan received the B.E. degree in electrical engineering from UCE Burla, the M.E. degree in signal processing from Indian Institute of Science, Bangalore, India, and the Ph.D. degree from Nanyang Technological University, Singapore. His postdoctoal research in NTU Singapore was on the design and development of efficient iris recognition and image super-resolution systems. He is currently an Associate Professor with School of Electrical Sciences, IIT Bhubaneswar. His fields of research interests are image and video processing, signal processing, computer vision, biometrics, machine learning & deep learning and medical image analysis. He and his research group primarily explores perception, transforms and learning based novel methdologies for signal and image processing applications. His research works have been published in more than 100 reputed international journals and conferences. He has so far guided 5 PhD and 15 M.Tech thesis students in IIT Bhubaneswar. He is a member of the IEEE Signal Processing Society.

 

 

 

 

*If you are interested to do PhD in my research group, please mail your CV: nbpuhan[At]iitbbs.ac.in 

Teaching

  • Image and Video Processing
  • Digital Signal Processing
  • Advanced Digital Signal Processing
  • Signals and Systems
  • Basic Electronics
  • Pattern Recognition
  • Biomedical Signal Processing

Projects

Real Time Implementation of Image Fusion Algorithms for IR and CCD Video - (DRDO)

Online Target Scoring System for Consistency Trials with Scintillation removal in images - (DRDO)

Design and Development of Deep Learning based App for Early Warning of Blindness - (SERB)

Cancer Modelling of Signaling Network and Prediction of Therapeutic Intervention Strategies - (DST)

Study and design of object recognition systems - (IIT Bhubaneswar) 

Scan and Print (co-PI)- (IIT Bhubaneswar)

Recent Publications (International Journals)

1Gaurab Bhattacharya, Niladri B. Puhan, "Stand-alone Multi-Attention Fusion Network for Double-Identity Fingerprint Detection," IEEE Transactions on Biometrics, Behavior, and Identity Science, 2022.
2Gaurab Bhattacharya, Niladri B. Puhan, B. Mandal, "Kernelized dynamic convolution routing in spatial and channel interaction for attentive concrete defect recognition," Signal Processing: Image Communication, Elsevier, 2022.
3Omveer Sharma, N. C. Sahoo, Niladri B. Puhan, "Kernelized convolutional transformer network based driver behavior estimation for conflict resolution at unsignalized roundabout," ISA Transactions, Elsevier, 2022.
4Omveer Sharma, N. C. Sahoo, Niladri B. Puhan, "Highway Lane-Changing Prediction Using a Hierarchical Software Architecture based on Support Vector Machine and Continuous Hidden Markov Model," International Journal of Intelligent Transportation Systems Research, pp. 1-21, Springer, 2022.
5Sapna S. Mishra, B. Mandal, Niladri B. Puhan, "MacularNet: Towards Fully Automated Attention-Based Deep CNN for Macular Disease Classification", SN Computer Science, vol. 3, issue 2, pp. 1-16, Springer, 2022.
6Gaurab Bhattacharya, Niladri B. Puhan, B. Mandal, "Stand-alone Composite Attention Network for Concrete Structural Defect Classification," IEEE Transactions on Artificial Intelligence, 2022.
7Aryaman Sinha, S. P. Dash, Niladri B. Puhan, "NOMARO: Defending against Adversarial Attacks by NOMA-Inspired Reconstruction Operation," IEEE Sensors Letters, vol. 6, issue 1, 2022.
8Sapna S Mishra, B. Mandal, Niladri B. Puhan, "Perturbed Composite Attention Model for Macular Optical Coherence Tomography Image Classification" IEEE Transactions on Artificial Intelligence, 2022.
9Gaurab Bhattacharya, B. Mandal, Niladri B. Puhan, "Interleaved Deep Artifacts-Aware Attention Mechanism for Concrete Structural Defect Classification," IEEE Transactions on Image Processing, vol. 30, pp. 6957 - 6969, 2021.
10Gaurab Bhattacharya, B. Mandal, Niladri B. Puhan, "Multi-deformation Aware Attention Learning for Concrete Structural Defect Classification," IEEE Transactions on Circuits and Systems for Video Technology, vol. 31, issue 9, pp. 3707 - 3713, 2021.
11Omveer Sharma, N. C. Sahoo, N. B. Puhan, "Recent advances in motion and behavior planning techniques for software architecture of autonomous vehicles: A state-of-the-art survey", Engineering Applications of Artificial Intelligence, vol. 101, 104211, Elsevier, 2021.
12Rashmi Panda, N. B. Puhan, B. Mandal, G. Panda, "GlaucoNet: Patch-Based Residual Deep Learning Network for Optic Disc and Cup Segmentation Towards Glaucoma Assessment" SN Computer Science, 2(99), Springer, 2021.
13Nazneen N. Sultana, B. Mandal, N. B. Puhan, "Deep Regularized Discriminative Network", SN Computer Science, 2(235), Springer, 2021.
14Sushree S. Behera, Sapna S. Mishra, B. Mandal, N. B. Puhan, "Variance-guided attention-based twin deep network for cross-spectral periocular recognition," Image and Vision Computing, vol. 104, 104016, Elsevier, 2020.
15Ishank Goel, Niladri B. Puhan, B. Mandal, "Deep Convolutional Neural Network for Double-Identity Fingerprint Detection", IEEE Sensors Letters, vol. 4, issue 5, pp. 1-4, 2020.
16Kalyan S. Dash, N. B. Puhan, G. Panda, "Sparse Concept Coded Tetrolet Transform for Unconstrained Odia Character Recognition" arXiv:2004.01551, 2020.
17Sapna S Mishra, B. Mandal, N. B. Puhan, "Multi-level Dual-attention Based CNN for Macular Optical Coherence Tomography Classification" IEEE Signal Processing Letters, vol. 26, issue,12, pp. 1793-1797, 2019.
18Vasundhara, N. B. Puhan, G. Panda,"Zero attracting proportionate normalized subband adaptive filtering technique for feedback cancellation in hearing aids", Applied Acoustics, vol. 149, 39-45, Elsevier, 2019.
19B. Mandal, N. B. Puhan, A. Verma,"Deep Convolutional Generative Adversarial Network Based Food Recognition Using Partially Labeled Data", IEEE Sensors Letters, vol. 3, issue 2, pp. 1-4, 2019.
20Rashmi Panda, N. B. Puhan, A. Rao, B. Mandal, D. Padhy, G. Panda,"Deep convolutional neural network based patch classification for retinal nerve fiber layer defect detection in early glaucoma", Journal of Medical Imaging, vol. 5(4), 044003 (1-8), SPIE, 2018.
21Nazneen N. Sultana, B. Mandal, N. B. Puhan, "Deep Residual Network with Regularized Fisher Framework for Detection of Melanoma" IET Computer Vision, 12(8): 1096-1104, 2018.
22Mohit Kumar, N. B. Puhan, "RANSAC lens boundary feature based kernel-SVM for transparent contact lens detection", IET Biometrics, vol. 1, pp. 1-8, 2018.
23Vasundhara, N. B. Puhan, G. Panda,"De-Correlated Improved Adaptive Exponential FLAF Based Nonlinear Adaptive Feedback Cancellation for Hearing Aids" IEEE Transactions on Circuits and Systems I: Regular Papers, vol. 65, issue 2, pp. 650 - 662, 2018.
24Rashmi Panda, N. B. Puhan, A. Rao, D. Padhy, G, Panda, "Automated retinal nerve fiber layer defect detection using fundus imaging in glaucoma" Computerized Medical Imaging and Graphics, vol. 66, pp. 56-65, Elsevier, 2018.
25Paritosh Pandey, A. Deepthi, B. Mandal, N. B. Puhan,"FoodNet: Recognizing Foods Using Ensemble of Deep Networks", IEEE Signal Processing Letters, vol. 24, issue 12, pp. 1758 - 1762, 2017.
26Vasundhara, G. Panda, N. B. Puhan,"A new evolving update based improved feedback cancellation scheme for hearing aids" Signal Image and Video Processing, vol. 12, pp. 731-738, Springer, 2017.
27Rashmi Panda, N B Puhan, G Panda, "Mean Curvature and Texture Constrained Composite Weighted Random Walk Algorithm for Optic Disc Segmentation towards Glaucoma Screening", IET Healthcare Technology Letters, vol. 5, issue 1, pp. 31-37, 2017.
28Rashmi Panda, N B Puhan, G Panda,"Robust and accurate optic disk localization using vessel symmetry line measure in fundus images" Biocybernetics and Biomedical Engineering, Volume 37, Issue 3, Pages 466–476, Elsevier, 2017.
29Vineeta Das, N. B. Puhan,"Tsallis entropy and sparse reconstructive dictionary learning for exudate detection in diabetic retinopathy", Journal of Medical Imaging, 4(2), 024002, SPIE, 2017.
30Vasundhara, G. Panda, N. B. Puhan,"Individual-activation-factor based novel approach for acoustic feedback suppression in hearing aid", Applied Acoustics, vol. 127, pp. 74-79, Elsevier, 2017
31A Rao, Rashmi Panda, N B Puhan, D Padhy,"Automated detection and quantification of retinal nerve fibre layer defects on fundus photography" Investigative Ophthalmology & Visual Science, 58(8), 2017.
32Vasundhara, B. K. Mohanty, G. Panda, N. B. Puhan,"Hardware Design for VLSI Implementation of Acoustic Feedback Canceller in Hearing Aids", Circuits, Systems, and Signal Processing, pp. 1383-1406, vol. 37, Springer, 2017.
33Kalyan S. Dash, N. B. Puhan, G. Panda, "BESAC: Binary External Symmetry Axis Constellation for Unconstrained Handwritten Character Recognition", Pattern Recognition Letters, 83: 413-422, Elsevier, 2016.
34Kalyan S. Dash, N. B. Puhan, G. Panda, "Unconstrained Handwritten Digit Recognition Using Perceptual Shape Primitives", Pattern Analysis and Applications, vol. 21, issue 2, pp. 413-436, Springer, 2016.
35Kalyan S. Dash, N. B. Puhan, G. Panda,"Odia Character Recognition: A Directional Review", Artificial Intelligence Review, vol. 48, issue 4, pp. 473-497, Springer, 2016.
36Vasundhara, G. Panda, N. B. Puhan,“On new efficient 'MU'-law based method for feedback compensation in hearing aids,” IET Electronics Letters, Volume 52, Issue 14, pp. 1200 – 1202, 2016.
37Rashmi Panda, N. B. Puhan, G. Panda,“New Binary Hausdorff Symmetry Measure Based Seeded Region Growing for Retinal Vessel Segmentation,” Biocybernetics and Biomedical Engineering, vol. 36, pp. 119–129, Elsevier, 2016.
38Vasundhara, G. Panda, N. B. Puhan,"An improved block adaptive system for effective feedback cancellation in hearing aids,” Digital Signal Processing, vol. 48, pp. 216–225, Elsevier, 2016.
39Vasundhara, G. Panda, N. B. Puhan,“A robust adaptive hybrid feedback cancellation scheme for hearing aids in the presence of outliers,” Applied Acoustics, vol. 102, pp. 146–155, Elsevier, 2016.
40Kalyan S. Dash, N. B. Puhan, G. Panda,“Handwritten Numeral Recognition Using Non-Redundant Stockwell Transform and Bio-inspired Optimal Zoning”, IET Image Processing, vol. 9, issue 10, pp. 874-882, 2015.
41M. Manoj Kumar, N. B. Puhan,"Offline Signature Verification: Upper and Lower Envelope Shape Analysis using Chord Moments", IET Biometrics, Volume 3, Issue 4, pp.347–354, 2014.
42N. B. Puhan, N. Sudha, Anirudh S K,"Efficient Segmentation Technique for Poor Quality Frontal View Iris Images Using Fourier Spectral Density," Signal Image and Video Processing, vol. 3, issue 1, pp. 105-119, Springer, March 2011.
43N. B. Puhan, A. T. S. Ho, F. Sattar,"Localization and Text Sequence Restoration Using Noise Pixels in Binary Document Image Watermarking," Journal of Electronic Imaging, vol. 18, no. 2, pp. 023012 (1-21), SPIE, April-June 2009.
44N. Sudha, N. B. Puhan, H. Xia, X. Jiang, "Iris recognition on edge maps," IET Computer Vision, vol. 3, no. 1, pp. 1-7, March 2009.
45N. B. Puhan, A. T. S. Ho, ""Secure authentication watermarking for localization against the Holliman-Memon attack," ACM Multimedia Systems, vol. 12, no. 6, pp. 521-532, May 2007.

Conferences (International)

1Renuka Acharya, Niladri B. Puhan, "Long Short-Term Memory Model Based Microaneurysm Sequence Classification in Fundus Images" IEEE International Conference on Signal Processing and Communications (SPCOM), IISc Bangalore, July 2022.
2Renuka Acharya, Niladri B. Puhan, "Robust Low Rank Microaneurysm Classification in Fundus Images" IEEE International Symposium on Biomedical Imaging (ISBI), Kolkata, India, March 2022.
3Akash Kaothalkar, B. Mandal, Niladri B. Puhan "StructureNet: Deep Context Attention Learning for Structural Component Recognition," 17th International Conference on Computer Vision Theory and Applications (VISAPP), Lisbon, Portugal, 2022.
4Omveer Sharma, N. C. Sahoo, N. B. Puhan, "Highway Discretionary Lane Changing Behavior Recognition Using Continuous and Discrete Hidden Markov Model," 24th IEEE Intelligent Transportation Systems Conference (ITSC), Indianapolis, USA, 2021.
5Sushree S. Behera, B. Mandal, N. B. Puhan "Twin Deep Convolutional Neural Network Based Cross-spectral Periocular Recognition" 26th IEEE National Conference on Communications (NCC), pp. 1-6, IIT Kharagpur, 2020.
6Govind Satapathy, Gaurab Bhattacharya, N. B. Puhan, A. T. S. Ho, "Generalized Benford’s Law for Fake Fingerprint Detection" IEEE Applied Signal Processing Conference (ASPCON), pp. 242-246, Kolkata, 2020.
7G. Neeharika, B. Mandal, N. B. Puhan "Enhanced Deep Video Summarization Network" BMVC, Cardiff, UK, 2019.
8Omveer Sharma, N. C. Sahoo, N. B. Puhan "A Survey on Smooth Path Generation Techniques for Nonholonomic Autonomous Vehicle Systems" 45th Annual Conference of the IEEE Industrial Electronics Society (IECON), pp. 5167-5172, Lisbon, Portugal, 2019
9Sushree S. Behera, B. Mandal, N. B. Puhan "Cross-Spectral Periocular Recognition: A Survey", Lecture Notes in Electrical Engineering, vol. 545, pp 731-741, 2019.
10Nazneen N. Sultana, N. B. Puhan, B. Mandal "DeepPCA Based Objective Function for Melanoma Detection", IEEE International Conference on Information Technology, Bhubaneswar, 2018.
11Vasundhara, N. B. Puhan, G. Panda "Proportionate Subband Filtering Technique with L1-Norm for Feedback Cancellation in Hearing Aids" IEEE International Conference on Signal Processing and Communications (SPCOM), IISc Bangalore, 2018.
12Nazneen N Sultana, N. B. Puhan "Recent Deep Learning Methods for Melanoma Detection: A Review" International Conference on Mathematics and Computing, IIT (BHU) Varanasi, 2018.
13Sushree S. Behera, M. Gour, K. Vivek, N. B. Puhan "Periocular recognition in cross-spectral scenario" Proc. IEEE International Joint Conference on Biometrics (IJCB), pp. 681-687, Denver, 2017
14Rashmi Panda, N.B. Puhan, Aparna Rao, D. Padhy, G. Panda "Recurrent neural network based retinal nerve fiber layer defect detection in early glaucoma" Proc. IEEE International Symposium on Biomedical Imaging (ISBI), pp. 692-695, Melbourne, 2017.
15Kalyan S. Das, N B Puhan, G Panda "A Sparse Concept Coded Spatio-Spectral Feature Representation for Handwritten Character Recognition" IEEE International Conference on Signal Processing and Communications (SPCOM), IISc Bangalore, 2016.
16Vasundhara, N B Puhan, G Panda "An Improved Block Sparse Method for Feedback Suppression in Hearing Aids" IEEE International Conference on Signal Processing and Communications (SPCOM), IISc Bangalore, 2016.
17Rashmi Panda, N B Puhan, G Panda "Global vessel symmetry for optic disc detection in retinal images" 5th IEEE National Conference on Computer Vision, Pattern Recognition, Image Processing and Graphics (NCVPRIPG), IIT Patna, December 2015.
18Kalyan S. Dash, N. B. Puhan, G. Panda “Synthetic Handwritten Odia Numeral Database: From Shallow Hundreds to Comprehensive Thousands,” 5th IEEE National Conference on Computer Vision, Pattern Recognition, Image Processing and Graphics (NCVPRIPG), IIT Patna, December 2015.
19Vineeta Das, N. B. Puhan, Rashmi Panda “Entropy Thresholding based Microaneurysm Detection in Fundus Images,” 5th IEEE National Conference on Computer Vision, Pattern Recognition, Image Processing and Graphics (NCVPRIPG), IIT Patna, December 2015.
20Mohit Kumar, N. B. Puhan “Iris Liveness Detection Using Texture Segmentation,” 5th IEEE National Conference on Computer Vision, Pattern Recognition, Image Processing and Graphics (NCVPRIPG), IIT Patna, December 2015.
21Kalyan S. Dash, N. B. Puhan, G. Panda “Gestalt configural superiority effect: A complexity paradigm for handwritten numeral recognition,” IEEE International Conference on Advances in Pattern Recognition (ICAPR), pp. 1-6, ISI Kolkata, January 2015
22Kalyan S. Dash, N. B. Puhan, G. Panda “On extraction of features for handwritten Odia numeral recognition in transformed domain,” IEEE International Conference on Advances in Pattern Recognition (ICAPR), pp. 1-6, ISI Kolkata, January 2015
23Vasundhara, G. Panda, N. B. Puhan “A Low Complexity Hirschman Optimal Transform Based Feedback Cancellation Scheme for Hearing Aid,” IEEE Power, Communication and Information Technology Conference, Bhubaneswar, October 201
24Anindya Poddar, S. Tanveer Ahmed, N. B. Puhan “Adaptive Saliency-weighted Obstacle Detection for the Visually Challenged,” IEEE International Conference on Signal Processing and Integrated Networks (SPIN), New Delhi, February 2015.
25Bijay K. Ekka, N. B. Puhan, Rashmi Panda “Retinal Verification Using Point Set Matching,” IEEE International Conference on Signal Processing and Integrated Networks (SPIN), New Delhi, February 2015.
26Vasundhara, G. Panda, N. B. Puhan, “A Sparse Improved Gradient Controlled Method for Feedback Cancellation in Hearing Aid,” pp. 1-5, IEEE INDICON, New Delhi, 2015.
27M Manoj Kumar, N. B. Puhan, “Chord oriented gap feature for offline signature verification,” 13th IEEE International Conference on Control Automation Robotics & Vision (ICARCV), pp. 799-803, Singapore, December, 2014
28Kalyan S. Dash, N. B. Puhan, G. Panda "Handwritten Odia Numeral Recognition: Combining Gestalt Configural Superiority Effect and Inner Distance Based Complexity Metric,” 14th IEEE International Symposium on Signal Processing and Information Technology (ISSPIT), New Delhi, December 2014
29Rashmi Panda, N. B. Puhan, G. Panda "Hausdorff Symmetry Operator towards Retinal Blood Vessel Segmentation," 19th IEEE International Conference on Digital Signal Processing (DSP), Hong Kong, 2014.
30Kalyan S. Dash, N. B. Puhan, G. Panda "A Hybrid Feature and Discriminant Classifier for High Accuracy Handwritten Odia Numeral Recognition," IEEE Region 10 Symposium (TENSYMP), pp. 531-535, Kuala Lumpur, 2014.
31M. Manoj Kumar, N. B. Puhan "Inter-point Envelope Based Distance Moments for Offline Signature Verification," IEEE International Conference on Signal Processing and Communications (SPCOM), Bangalore, 2014.
32Kalyan S. Dash, N. B. Puhan, G. Panda "Non-redundant Stockwell Transform Based Feature Extraction for Handwritten Digit Recognition," IEEE International Conference on Signal Processing and Communications (SPCOM), Bangalore, 2014.
33Anurima Tikader, N. B. Puhan "Histogram of Oriented Gradients for Script Recognition," IEEE International Conference for Convergence of Technology, Pune, 2014.
34Anurima Tikader, N. B. Puhan "Edge based directional features for script recognition," IEEE International Conference on Signal Processing and Integrated Networks (SPIN), pp. 130-135, New Delhi, 2014.
35Vasundhara, G. Panda, N. B. Puhan "Robust feedback cancellation in hearing aids in the presence of outliers," IEEE International Conference on Signal Processing and Integrated Networks (SPIN), pp. 25-29, New Delhi, 2014.
36M. Manoj Kumar, N. B. Puhan "Offline signature verification using the trace transform," IEEE International Conference on Advance Computing Conference (IACC), pp. 1066 – 1070, Gurgaon, 2014.
37M. Preetham Krishna, A. Sriram, N. B. Puhan "Clustering based image binarization in palm leaf manuscripts," IEEE International Conference on Advance Computing Conference (IACC), pp. 1060 – 1065, Gurgaon, 2014.
38Niladri B. Puhan, N. Sudha, Suhas Hegde "A new iris liveness detection method against contact lens spoofing," Proc. 15th IEEE International Symposium on Consumer Electronics (ISCE), pp. 71-74, June 2011, Singapore.
39Niladri B. Puhan, N. Sudha, Suhas Hegde "Iris liveness detection for semi-transparent contact lens spoofing," Communications in Computer and Information Science (CCIS), vol. 205, pp. 249-256, Springer 2011.
40N. B. Puhan, A. T. S. Ho, F. Sattar "High Capacity Data Hiding in Binary Document Images," Proc. 8th International Workshop on Digital Watermarking (IWDW), LNCS-5703, pp. 149-161, Surrey, UK, August 2009.
41S. Vasudevan, G. C. K. Chen, A. C. K. Teu, N. B. Puhan, Z. Lin "Three-Dimensional Phase Images Using Photothermal Microscope Integrated with Digital Holographic Interferometry," Proc. OSA Spring Optics & Photonics Congress, Vancouver, Canada, April 2009.
42N. B. Puhan, N. Sudha "Efficient Feature Matching in a Very Large Iris Database for Person Identification," Proc. 34th Annual Conference of the IEEE Industrial Electronics Society (IECON), pp. 1881-1884, Orlando, Florida, December, 2008.
43N. B. Puhan, N. Sudha "A novel iris database indexing method using the iris color," Proc. 3rd IEEE Conf. on Industrial Electronics and Applications (ICIEA), pp. 1886-1891, Singapore, June 2008.
44N. B. Puhan, N. Sudha "Design of efficient techniques for iris recognition," Proc. InfoComm Technology workshop, pp. 23-36, Nanyang Technological University, Singapore, March 2008.
45N. B. Puhan, N.Sudha, X. Jiang "Robust Eyeball Segmentation in Noisy Iris Images using Fourier Spectral Density," Proc. 6th IEEE International Conference on Information, Communications and Signal Processing (ICICS), pp. 1337-1341, Singapore, December 2007.
46N. Sudha, N. B. Puhan, Hua Xia, Jiang Xudong "Iris Recognition on Edge Maps," Proc. 6th IEEE International Conference on Information, Communications and Signal Processing (ICICS), pp. 1-4, Singapore, December 2007.
47N. Sudha, N. B. Puhan, Hua Xia, Jiang Xudong "Local Partial Hausdorff Distance Measure Based on Binary Feature for Iris Recognition," Invited paper, Proc. 3rd Indian International Conference on Artificial Intelligence (IICAI), pp. 621-629, Pune, India, December 2007.
48Niladri B. Puhan, A.T.S. Ho, F. Sattar "Erasable Authentication Watermarking in Binary Document Images," Proc. 2nd IEEE International Conference on Innovative Computing, Information and Control (ICICIC-07), pp. 288-291, Kumamoto, Japan, September 2007.
49Niladri B. Puhan, Anthony T. S. Ho "Secure Exact Authentication in Binary Document Images," Proc. IET Intl. Conference on Visual Information Engineering (VIE), pp. 29 -34, Bangalore, India, September 2006.
50Niladri B. Puhan, Anthony T. S. Ho "Restoration in Secure Text Document Image Authentication Using Erasable Watermarks," Proc. International Conference on Computational Intelligence and Security, Lecture Notes in Computer Science (LNCS), vol. 3802, pp. 661-668, Xian, China December, 2005.
51Niladri B. Puhan, Anthony T. S. Ho "Secure Tamper Localization in Binary Document Image Authentication," Proc. 9th International Conference on Knowledge-Based Intelligent Information and Engineering Systems, Lecture Notes in Computer Science (LNCS), vol. 3684, pp. 263-271,Melbourne, Australia, September, 2005.
52Niladri B. Puhan, Anthony T. S. Ho "Binary Document Image Watermarking for Secure Authentication Using Perceptual Modeling," Proc. 5th IEEE International Symposium on Signal Processing and Information Technology (ISSPIT), pp. 393-398, Athens, Greece, July 2005.
53Anthony T. S. Ho, Niladri B. Puhan, P. Marziliano, A. Makur, Y. L. Guan "Perception Based Binary Image Watermarking," Proc. IEEE International Symposium on Circuits and Systems (ISCAS), pp. 37-40, vol. 2, Vancouver, Canada, May 2004.
54Anthony T. S. Ho, Niladri B. Puhan, P. Marziliano, A. Makur, Y. L. Guan "Imperceptible Data Embedding in Sharply-Contrasted Binary Images," Proc. IEEE International Conference on Control, Automation, Robotics and Vision (ICARCV), pp. 958-963, vol. 2, Kunming, China, December 2004.
55Niladri B. Puhan, A. Makur "A robust watermarking scheme based on perceptual contrast energy," Proc. IEEE International Conference on Intelligent Sensing and Information Processing (ICISIP), pp. 114-118, Chennai, India, Jan 2004.
56Anthony T. S. Ho, Niladri B. Puhan, P. Marziliano, Y. L. Guan "A Novel Curvature-Weighted Distance Difference (CWDD) Perceptual Model for Binary Image Data Hiding," Proc. 5th International Conference on Advances in Pattern Recognition (ICAPR), pp. 355-358,Calcutta, India, December 2003.
57S S Selvi, N. H. Chauhan, Niladri B Puhan, A. Makur "Overview of image watermarking research in Viscom lab," Proc. National Workshop on Computer Vision, Graphics and Image Processing (WVGIP), pp. 17-22, Madurai, India, February 2002.
 

Academic Honors & Awards

Record not found. Please check back later.

 

Research Scholar

Record not found. Please check back later.

 

Open PhD positions

In Image and Video Processing research group, there is availability of positions for new Ph.D. students to work on research areas such as deep learning, image and video processing, computer vision, medical image analysis and biometrics.
 
Applicants should have good academic record with strong mathematical background and programming knowledge. 
 
If interested to join my research group, please mail your CV at nbpuhan@iitbbs.ac.in
 

Image Datasets

 
  • IITBBS Odia Numeral and Character Database
  • IITBBS Leaf Database
  • Indian Food Database
  • IITBBS Double-Identity Fingerprint Database
Please mail: nbpuhan@iitbbs.ac.in in order to access the databases.  

Professional Experience

Contact Us