Prof. Nibaran Das

Professor, Department of Computer Science & Engineering, Jadavpur University

About Me

About Me

Nibaran Das is a full professor with ten years of post-PhD experience in the Department of Computer Science and Engineering at Jadavpur University. His study focuses on the applications of machine learning and deep learning approaches to Document image Analysis and Microscopy Image Analysis. He has authored or coauthored over 150 journal articles, conference proceedings, and book chapters in the fields of pattern Recognition and image processing.

  • Name: Prof. Nibaran Das
  • Website: Prof. Nibaran Das
  • Phone: 03324572407
  • City: Kolkata-700032 West Bengal India
  • Degree: PHD
  • Email: nibaran.das@jadavpuruniversity.in

Expert In Deep Learning, Patter Recognition, Image processing, Artificial Intelligence, Optical Character Recognition and Microscopy Image Analysis.

Years of experience From 2005

News

News

EXPERIENCE

EXPERIENCE

Notable Achievements

Achievements

  • Best Volunteer of IEEE Kolkata Section for the year 2015 by IEEE Kolkata Section-2016
  • Received 3rd excellence award in the summer school of International Document Information Processing School (IDIPS2016), Samos, Greece, 4-8 July, 2016 From the Organizer of the summer school. The visit was supported by TEQIP-II Program of Government of India under through Jadavpur University
  • Visit University of Evora, Portugal for research at staff level under EMMA-WEST Erasmus Mundus mobility program by European Union From 18-05-2014 to 20-6-2014
  • EMMA-WEST Post-Doctoral Fellowship at university of Evora by European Union From 12th October 2013 to 11th January 2014
  • EMMA-WEST Post-Doctoral Fellowship at university of Evora by European Union From 26th November 2012 to 20th February 2013

Education

Ph.D.

2012

Jadavpur University

M.E.

2005

Jadavpur University

B.Tech

2003

Kalyani Government Engineering College (University of Kalyani)

Professional Experience

Full Professor

2021 - Present

Jadavpur University

Associate Professor

2018 - 2021

Jadavpur University

Assistant Professor

2006 - 2018

Jadavpur University

Lecturer

2005 - 2006

Techno India

Research interests

  • Deep Learning
  • Patter Recognition
  • Image processing
  • Artificial Intelligence
  • Optical Character Recognition.

List Of Publications

List Of Publications

List Of Journals

  • Natural Scene Text Localization and Detection using MSER and its Variants: A Comprehensive Survey, K Dutta , R Sarkhel , M Kundu, M Nasipuri, N Das, 2023, doi: https://doi.org/10.1007/s11042-023-17671-1, Multimedia Tools and Applications
  • Two-phase Dynamic Routing for Micro and Macro-level Equivariance in Multi-Column Capsule Networks, B. Mandal, R. Sarkhel, S. Ghosh, N. Das and M. Nasipuri, 2021, Pattern Recognition, Vol. 109, -
  • JU-VNT: a multi-spectral dataset of indoor object recognition using visible, near-infrared and thermal spectrum, S Ghosh, N Das, P Sarkar and M Nasipuri, 2021, Multimedia Tools and Applications, Springer, 80(12)-17807-17826
  • DevNet: An Efficient CNN Architecture for Handwritten Devanagari Character Recognition, R. Guha, N. Das, M. Kundu, M. Nasipuri, and K. C. Santosh, 2020, International Journal of Pattern Recognition and Artificial Intelligence, doi: 10.1142/S0218001420520096
  • Weber local descriptor for image analysis and recognition: a survey, A. Banerjee, N. Das and K. C. Santosh, 2020, Visual Computer, doi: 10.1007/s00371-020-02017-x
  • Multi scale mirror connection based encoder decoder network for text localization, K. Dutta, M. Bal, A. Basak, S. Ghosh, N. Das, M. Kundu, M. Nasipuri, 2020, Vol. 135, 64-71
  • A Skip-Connected Multi column Network for Isolated Handwritten Bangla Character and Digit Recognition, A. Singh, R. Sarkhel, N. Das, M. Kundu, and M. Nasipuri, 2020, 21: doi: 10.1007/s11220-020-00288-1
  • Improved word-level handwritten Indic script identification by integrating small convolutional neural networks, Md Obaidullah, KC Santosh, K Roy and N Das, 2020, Neural Computing and Applications, Springer Nature BV, 32(7)-2829-2844
  • Improved word-level handwritten Indic script identification by integrating small convolutional neural networks, S. Ukil, S. Ghosh, S. Obaidullah, K. C. Santosh, K. Roy and N. Das, 2020, Neural Computing and Applications, vol. 32, no. 7, 2829–2844
  • Multiobjective optimization for recognition of isolated handwritten Indic scripts, A. Gupta, R. Sarkhel, N. Das and M. Kundu, 2019, Pattern Recognition Letter, Vol. 128, 318-325
  • SegFast-V2: Semantic image segmentation with less parameters in deep learning for autonomous driving, S. Ghosh, A. Pal, S. Jaiswal, K. C. Santosh, N. Das and M. Nasipuri, 2019, International Journal of Machine Learning and Cybernetics volume, Vol. 10, 3145-3154
  • Reshaping inputs for convolutional neural network: Some common and uncommon methods, S. Ghosh, N. Das and M. Nasipuri, 2019, Pattern Recognition, Vol. 93, 79-94
  • Understanding Deep Learning Techniques for Image Segmentation, S. Ghosh, N. Das, I. Das and U Maulik, 2019, ACM Computing Survey, vol. 52, no. 4, 73:1-73:35
  • Automatic Indic script identification from handwritten documents: page, block, line and word-level approach, S. M. Obaidullah, K. C. Santosh, C. Halder, N. Das and K. Roy, 2019, International Journal of Machine Learning and Cybernetics, Vol. 10, 87-106
  • An improved Harmony Search Algorithm embedded with a novel piecewise opposition based learning algorithm, R. Sarkhel, N. Das, A. K. Saha and M. Nasipuri, 2018, Engineering Application Artificial Intelligence, vol. 67, 317–330
  • Object Localization on Natural Scenes: A Survey, S. Choudhuri, N. Das, R. Sarkhel and M. Nasipuri, 2018, International Journal of Artificial Intelligence & Pattern Recognition (IJPRAI), vol. 32, no. 2, 1855001(39 pages)
  • Benchmark databases of handwritten Bangla-Roman and Devanagari-Roman mixed-script document images, P.K Singh, R Sarkar, N Das, S Basu, M Kundu and M Nasipuri, 2018, Multimedia Tools and Applications(MTAP), Vol.77, 8441-8473
  • PHDIndic_11:Page-level handwritten document image dataset of 11 official Indic scripts for script identification, S. M. Obaidullah, K. C. Santosh, C. Halder, N. Das and K. Roy, 2018, Multimedia Tools and Applications (MTAP), Vol.77, 1643-1678
  • A multi-scale deep quad tree based feature extraction method for the recognition of isolated handwritten characters of popular indic scripts, R. Sarkhel, N. Das, A. Das, M. Kundu and M. Nasipuri, 2017, Pattern Recognition, vol. 71, 78–93,
  • A multi-scale deep quad tree based feature extraction method for the recognition of isolated handwritten characters of popular indic scripts, R. Sarkhel, N. Das, A. Das, M. Kundu and M. Nasipuri, Nov 2017, Pattern Recognition, vol. 71, pp. 78–93
  • Handwritten isolated Bangla compound character recognition: A new benchmark using a novel deep learning approach, S. Roy, N. Das, M. Kundu and M. Nasipuri, 2017, Pattern Recognition Letters, vol. 90, 15-21
  • A novel Harmony Search algorithm embedded with metaheuristic Opposition Based Learning, R. Sarkhel, T. M. Chowdhury, M. Das, N. Das and M. Nasipuri, 2017, Journal of Intelligent and Fuzzy Systems, vol. 32 no.4, 3189-3199
  • Separating Indic scripts with `matra' for effective handwritten script identification in multi-script documents, S. M. Obaidullah, C. Goswami, K. C. Santosh, C. Halder, N. Das and K. Roy, 2017, International Journal of Artificial Intelligence & Pattern Recognition (IJPRAI), vol. 31, no. 4, 1753003 (17 pages)
  • Object Localization on Natural Scenes: A Survey, S. Choudhuri, N. Das, R. Sarkhel and M. Nasipuri, 2017, International Journal of Artificial Intelligence & Pattern Recognition (IJPRAI), World Scientific
  • “PHDIndic_11:Page-level handwritten document image dataset of 11 official Indic scripts for script identification”, in Multimedia Tools and Applications (MTAP), S. M. Obaidullah, C. Halder, K. C. Santosh, N. Das and K. Roy, 2017, doi:10.1007/s11042-017-4373-y, 2017
  • Automatic Line-Level Script Identification From Handwritten Document Images - A Region-Wise Classification Framework For Indian Subcontinent, S. M. Obaidullah, C. Halder, K. C. Santosh, N. Das and K. Roy, 2017, Malaysian Journal of Computer Science (MJCS)
  • A multi-objective approach towards cost effective isolated handwritten Bangla character and digit recognition, R. Sarkhel, N. Das, A. K. Saha and M. Nasipuri, 2016, Pattern Recognition, Vol. 58, 172-189
  • Bangla and Oriya Script Lines Identification from Handwritten Document Images in Tri-script Scenario, S.M. Obaidullah, C. Halder, N. Das and K. Roy, 2016, International Journal of Service Science, Management, Engineering, and Technology (IJSSMET) ), IGI Global, vol. 7,no. 1, pp. 43-60
  • A new dataset of word-level offline handwritten numeral images from four official Indic scripts and its benchmarking using image transform fusion, S. M. Obaidullah, C. Halder, N. Das and K. Roy, 2016, International Journal of Intelligent Engineering Informatics(IJIEI), Inderscience Publishers, vol. 4, no. 1, pp. 1–20
  • Handwritten Bangla character recognition using a soft computing paradigm embedded in two pass approach, N. Das, R. Sarkar, S. Basu, P. K. Saha, M. Kundu and M. Nasipuri, 2015, Pattern Recognition, vol. 48 no: 6, 2054–2071
  • Numeral Script Identification from Handwritten Document Images, Sk. Md Obaidullah, C. Halder, N. Das and K. Roy, 2015, Journal of Procedia Computer Science, Elsevier, Vol. 54 (2015), pp. 585-594
  • Convolution Based Technique for Indic Script Identification from Handwritten Document Images, Sk. Md Obaidullah, N. Das and K. Roy, 2015, International Journal of Image Graphics and Signal Processing, MECS Publisher, Hong Kong, Vol. 7 No. 5, pp. 49-57, DOI: 10.5815/ijigsp
  • A benchmark image database of isolated Bangla handwritten compound characters, N. Das, K. Acharya, R. Sarkar, S. Basu, M. Kundu and M. Nasipuri, 2014, International Journal on Document Analysis and Recognition (IJDAR), vol. 17, No. 4, 413–431
  • Comparison of Different Graph Distance Metrics for Semantic Text Based Classification, N. Das, S. Ghosh, T. Gonçalves and P. Quaresma, 2014, Polibits, no. 49, pp. 51–57
  • An Approach to Distinguish Machine Printed and Handwritten Text from Document Images for Indic Script, Sk. Md Obaidullah, N. Das and K. Roy, 2014, International Journal of Applied Engineering Research, Research India Publication, Vol. 9, No. 20,Special Issue, pp. 4670-4676
  • Development of Document Image Database for Offline Handwritten Indic Script Identification - A State-of-the-art, Sk. Md Obaidullah, Z. Rahaman, N. Das and K. Roy, 2014, International Journal of Applied Engineering Research, Research India Publication, Vol. 9, No. 20 (2014) Special Issue, pp. 4625-4630
  • Script Identification from Printed Indian Document Images and Performance Evaluation using Different Classifiers, Sk. Md Obaidullah, A. Mondal, N. Das and K. Roy, 2014, Applied Computational Intelligence and Soft Computing, vol. 2014, Article ID 896128, 12 pages, doi:10.1155/2014/896128
  • Statistical Comparison of Classifiers for Script Identification from Multi-script Handwritten documents, P. Kr. Singh, R. Sarkar, N. Das, S. Basu and M. Nasipuri, 2014, International Journal of Applied Pattern Recognition (IJAPR), vol. 1, No. 2, pp. 152-172
  • Extraction of Text Lines from Handwritten Documents Using Piecewise Water Flow Technique, R. Sarkar, N. Das, S. Basu, M. Kundu and M. Nasipuri, 2014, Journal of Intelligent Systems, ISSN (Online) 2191-026X, ISSN (Print) 0334-1860, DOI: 10.1515/jisys-2013-0018
  • Word-level Style Identification for Printed Bangla Documents, P. K. Singh, S. Jana, R. Sarkar, N. Das and M. Naipuri, 2014, International Journal on Recent Trends in Engineering & Technology, Vol. 11, pp. 204-212
  • Comparison of Different Classifiers for Script Identification from Handwritten Document, Sk. Md Obaidullah, N. Das and K. Roy, 2013, Journal of Intelligence Systems (BioInfo), Vol. 3 No. 1, pp. 19-24, DOI:10.97352229-7057
  • A genetic algorithm based region sampling for selection of local features in handwritten digit recognition application, N. Das, R. Sarkar, S. Basu, M. Kundu, M. Nasipuri and D. K. Basu, 2012, Applied Soft Computing, vol. 12, no. 5, 1592-1606
  • A statistical-topological feature combination for recognition of handwritten numerals, N. Das, J. M. Reddy, R. Sarkar, S. Basu, M. Kundu, M. Nasipuri and D. K. Basu, 2012, Applied Soft Computing, vol. 12, no. 8, 2486-2495
  • CMATERdb1: a database of unconstrained handwritten Bangla and Bangla–English mixed script document image, R. Sarkar, N. Das, S. Basu, M. Kundu, M. Nasipuri and D. Basu, 2012, International Journal on Document Analysis and Recognition(IJDAR), vol. 15, no. 1, 71–83
  • A New Global Thresholding Approach for Document Image Binarization, S. Malakar, D. Mohanta, R. Sarkar, N. Das, M. Nasipuri and D.K. Basu, 2012, International Journal of Information Processing (IJIP), vol. 6(2), pp. 48-59
  • Word Extraction and Character Segmentation from Text Lines of Unconstrained Handwritten Bangla Document Images, R. Sarkar, S. Malakar, N. Das, S. Basu, M. Kundu and M. Nasipuri, 2011, Journal of Intelligent Systems, De Gruyter, ISSN (Print) 0334-1860, ISSN (Online) 2191-026X, vol. 20, Issue 3, pp. 227–260
  • Word level Script Identification from Bangla and Devanagri Handwritten Texts mixed with Roman Script, R. Sarkar, N. Das, S. Basu, M. Kundu, M. Nasipuri and D. K. Basu, Feb 2010, Journal of Computing, Vol. 2, Issue 2, pp. 103-108, ISSN 2151-9617
  • Handwritten Bangla Basic and Compound character recognition using MLP and SVM classifier, N. Das, B. Das, R. Sarkar, S. Basu, M. Kundu and M. Nasipuri, Feb 2010, Journal of Computing, Vol. 2, Issue 2, pp. 109-115, ISSN 2151-9617.
  • A novel framework for automatic sorting of postal documents with multi-script address blocks, S. Basu, N. Das, R. Sarkar, M. Kundu, M. Nasipuri and D. K. Basu, 2010, Pattern Recognition, vol. 43, issue 10, 3507-3521
  • A Script Independent Technique for Extraction of Characters from Handwritten Word Images, R. Sarkar, S. Malakar, N. Das, S. Basu and M. Nasipuri, 2010, International Journal of Computer Applications (IJCA), no. 23,Article 17, pp. 85-90, ISSN 0975-8887 (online)
  • Recognition of Isolated Multi-Oriented Handwritten/Printed Characters using a Novel Convex-Hull Based Alignment Technique, N. Das, S. Pramanik, R. Sarkar, S. Basu and P.K.Saha, 2010, International Journal of Computer Applications (IJCA), no. 23, Article 8, pp. 40-45, ISSN 0975-8887 (online)
  • A Hierarchical Approach to Recognition of Handwritten Bangla Characters, S. Basu, N. Das, R. Sarkar, M. Kundu, M. Nasipuri and D.K. Basu, 2009, Pattern Recognition, vol. 42, no. 7, 1467 – 1484
  • A Novel Scheme for Editing and Inter Conversion between ASCII / ISCII / Unicode Encoded Multilingual Documents, N. Das, A. Murmu, S. Roy, R. Sarkar and S. Basu, July Dec 2009, Language Forum, vol. 35, no. 2

List Of conference proceedings

  • "Design of Balanced Ternary Encoder and Decoder", published in 6th International Conference on Computing Methodologies and Communication (ICCMC) Aadarsh G Goenka, Shyamali Mitra and Nibaran Das, 29-03-2022, 482-490
  • "Multispectral object detection with deep learning", International Conference on Computational Intelligence in Communications and Business Analytics, Md Osman Gani, Somenath Kuiry, Alaka Das, Mita Nasipuri and Nibaran Das, 07-01-2021, 105-117
  • "Improved Skin Disease Classification Using Generative Adversarial Network", IEEE 33rd International Symposium on Computer-Based Medical Systems (CBMS), Bisakh Mondal, Nibaran Das, KC Santosh and Mita Nasipuri, 28-07-2020, 520-525
  • "A Gated and Bifurcated Stacked U-Net Module for Document Image Dewarping", arXiv preprint arXiv:2007.09824(Accepted in ICPR 2020), Hmrishav Bandyopadhyay, Tanmoy Dasgupta, Nibaran Das and Mita Nasipuri, 20-07-2020
  • "Handwritten Tibetan Character recognition based on ELM using modified HOG features", IEEE Calcutta Conference (CALCON), Aritra Dey, Shyamali Mitra and Nibaran Das, 28-02-2020, 451-456
  • "Using thermal intensities to build conditional random fields for object segmentation at night", 4th International Conference on Computational Intelligence and Networks (CINE), Arnald Dutta, Bodhisatwa Mandal, Swarnendu Ghosh and Nibaran Das, 27-02-2020, 1-6
  • "SynCGAN: Using learnable class specific priors to generate synthetic data for improving classifier performance on cytological images", National Conference on Computer Vision, Pattern Recognition, Image Processing, and Graphics, Soumyajyoti Dey, Soham Das, Swarnendu Ghosh, Shyamali Mitra, Sukanta Chakrabarty and Nibaran Das, 22-12-2019, 32-42
  • "Identifying the presence of graphical texts in scene images using CNN", International Conference on Document Analysis and Recognition Workshops (ICDARW), Mridul Ghosh, Himadri Mukherjee, Sk Md Obaidullah, KC Santosh, Nibaran Das and Kaushik Roy, 22-09-2019, 86-91
  • "Closed-set device-independent speaker identification using cnn", International Conference on Intelligent Computing and Communication, Tapas Chakraborty, Bidhan Barai, Bikshan Chatterjee, Nibaran Das, Subhadip Basu and Mita Nasipuri, 07-06-2019, 291-299
  • "Using dynamic routing to extract intermediate features for developing scalable capsule networks", Second International Conference on Advanced Computational and Communication Paradigms (ICACCP), Bodhisatwa Mandal, Swarnendu Ghosh, Ritesh Sarkhel, Nibaran Das and Mita Nasipuri, 25-02-2019, 1-6
  • "Text localization in natural scene images using extreme learning machine", Second International Conference on Advanced Computational and Communication Paradigms (ICACCP), Kalpita Dutta, Nibaran Das, Mahantapas Kundu and Mita Nasipuri, 25-02-2019, 1-6
  • "A survey on extreme learning machine and evolution of its variants", International Conference on Recent Trends in Image Processing and Pattern Recognition, Subhasmita Ghosh, Himadri Mukherjee, Sk Md Obaidullah, KC Santosh, Nibaran Das and Kaushik Roy, 21-12-2018, 572-583
  • "Artistic multi-character script identification using iterative isotropic dilation algorithm", International Conference on Recent Trends in Image Processing and Pattern Recognition, Mridul Ghosh, Sk Md Obaidullah, KC Santosh, Nibaran Das and Kaushik Roy, 21-12-2018, 49-62
  • "Handwritten indic character recognition using capsule networks", IEEE Applied Signal Processing Conference (ASPCON), Bodhisatwa Mandal, Suvam Dubey, Swarnendu Ghosh, Ritesh Sarkhel and Nibaran Das, 07-12-2018, 304-308
  • "Handwritten Indic Script Identification–A Multi-level Approach", International Conference on Computational Intelligence, Communications, and Business Analytics, Subhasmita Ghosh, Ashif Sheikh, Sk Hossain, Golam Sarowar, Sk Obaidullah, KC Santosh, Nibaran Das and Kaushik Roy, 27-07-2018, 109-123
  • "An ASR system using MFCC and VQ/GMM with emphasis on environmental dependency", IEEE Calcutta Conference (CALCON), Bidhan Barai, Debayan Das, Nibaran Das, Subhadip Basu and Mita Nasipuri, 02-12-2017, 362-366
  • "Texture classification using deep neural network based on rotation invariant weber local descriptor", International Conference on Recent Trends in Image Processing and Pattern Recognition, Arnab Banerjee, Nibaran Das and Mita Nasipuri, 16-12-2016, 277-292
  • "Word-level thirteen official Indic languages database for script identification in multi-script documents", International Conference on Recent Trends in Image Processing and Pattern Recognition, Sk Md Obaidullah, KC Santosh, Chayan Halder, Nibaran Das and Kaushik Roy, 16-12-2016, 16-27
  • "Recognition system to separate text graphics from Indian newspaper", International Conference on Frontiers in Optimization: Theory and Applications, Shantanu Jana, Nibaran Das, Ram Sarkar and Mita Nasipuri, 24-11-2016, 185-194
  • "A multi-cue information based approach to contour detection by utilizing superpixel segmentation", International Conference on Advances in Computing, Communications and Informatics (ICACCI), Sandipan Choudhuri, Nibaran Das, Swarnendu Ghosh and Mita Nasipuri, 21-09-2016, 1057-1063
  • "Representing image captions as concept graphs using semantic information", International Conference on Advances in Computing, Communications and Informatics (ICACCI), Swarnendu Ghosh, Nibaran Das, Teresa Gonçalves and Paulo Quaresma, 21-09-2016, 162-167
  • "A quantum bi-directional self-organizing neural network (QBDSONN) for binary image denoising", International Conference on Advances in Computing, Communications and Informatics (ICACCI), Debanjan Konar, Siddhartha Bhattacharyya, Nibaran Das and Bijaya Ketan Panigrahi, 10-08-2015, 1225-1230
  • "An enhanced harmony search method for Bangla handwritten character recognition using region sampling", IEEE 2nd international conference on recent trends in information systems (ReTIS), Ritesh Sarkhel, Amit K Saha and Nibaran Das, 09-07-2015, 325-330
  • "A texture based approach for automatic identification of benign and malignant tumor from FNAC images", IEEE 2nd International Conference on Recent Trends in Information Systems (ReTIS), Paramita Das, Trijit Chatterjee, Sukanta Chakraborty, Debasree Mondal and Nibaran Das, 09-07-2015, 249-254
  • "Indic script identification from handwritten document images—an unconstrained block-level approach", IEEE 2nd international conference on recent trends in information systems (ReTIS), Sk Md Obaidullah, Nibaran Das, Chayan Halder and Kaushik Roy, 09-07-2015, 213-218
  • "Transform based approach for Indic script identification from handwritten document images", 3rd International Conference on Signal Processing, Communication and Networking (ICSCN), Sk Md Obaidullah, Rownaqul Karim, Sujal Shaikh, Chayan Halder, Nibaran Das and Kaushik Roy, 26-03-2015, 1-7
  • "Gabor filter based technique for offline indic script identification from handwritten document images", International Conference on Devices, Circuits and Communications (ICDCCom), Sk Md Obaidullah, Nibaran Das and Kaushik Roy, 12-09-2014, 1-5
  • "A new rotation invariant weber local descriptor for recognition of skin diseases", International Conference on Pattern Recognition and Machine Intelligence, Anabik Pal, Nibaran Das, Somenath Sarkar, Dwijendranath Gangopadhyay and Mita Nasipuri, 10-12-2013, 355-360
  • "Comparison of different classifiers for script identification from handwritten document", IEEE International Conference on Signal Processing, Computing and Control (ISPCC), Sk Md Obaidullah, Kaushik Roy and Nibaran Das, 26-09-2013, 1-6
  • "RGB image encryption by using discrete log with and Lorenz's chaotic function", 4th International Conference on Computer and Communication Technology (ICCCT), Anal Paul, Nibaran Das, Agyan K Prusty and Chidananda Das, 20-09-2013, 199-204
  • "An SVM based skin disease identification using local binary patterns", Third International Conference on Advances in Computing and Communications, Nibaran Das, Anabik Pal, Sanjoy Mazumder, Somenath Sarkar, Dwijendranath Gangopadhyay and Mita Nasipuri, 29-08-2013, 208-211
  • "An advanced gray image encryption scheme by using discrete logarithm with logistic and HEH64 chaotic functions", 3rd IEEE International Advance Computing Conference (IACC), Anal Paul, Nibaran Das and Agyan Kumar Prusty, 22-02-2013, 1114-1120
  • "Text line extraction from handwritten document pages using spiral run length smearing algorithm", International conference on communications, devices and intelligent systems (CODIS), Samir Malakar, Sougata Halder, Ram Sarkar, Nibaran Das, Subhadip Basu and Mita Nasipuri, 28-12-2012, 616-619
  • "Two-stage skew correction of handwritten Bangla document images", Third International Conference on Emerging Applications of Information Technology, Samir Malakar, Bhagesh Seraogi, Ram Sarkar, Nibaran Das, Subhadip Basu and Mita Nasipuri, 11-2012, 303-306
  • "Text line extraction from handwritten document pages based on line contour estimation", Third International Conference on Computing, Communication and Networking Technologies (ICCCNT'12), Ram Sarkar, Sougata Halder, Samir Malakar, Nibaran Das, Subhadip Basu and Mita Nasipuri, 26-07-2012, 1-8
  • "A new quad tree based feature set for recognition of handwritten bangla numerals", IEEE international conference on engineering education: Innovative practices and future trends (AICERA), Abhinaba Roy, Navonil Mazumder, Nibaran Das, Ram Sarkar, Subhadip Basu and Mita Nasipuri, 19-07-2012, 1-6
  • "Region selection in handwritten character recognition using artificial bee colony optimization", Third international conference on emerging applications of information technology, Abhinaba Roy, Nibaran Das, Ram Sarkar, Subhadip Basu, Mahantapas Kundu and Mita Nasipuri, 2012, 183-186
  • "Suppression of non-text components in handwritten document images", International Conference on Image Information Processing, Ram Sarkar, Sanjay Moulik, Nibaran Das, Subhadip Basu, Mita Nasipuri and Mahantapas Kundu, 03-11-2011, 1-7
  • "Binarization of the Noisy Document Images: A New Approach", International Conference on Information Processing, Samir Malakar, Dheeraj Mohanta, Ram Sarkar, Nibaran Das, Mita Nasipuri and Basu DK, 05-08-2011, 511-520
  • "A fast skew correction technique for camera captured business card images", Annual IEEE India Conference, AF Mollah, S Basu, N Das, R Sarkar, M Nasipuri and M Kundu, 18-1-2009, 1-4
  • "Text line segmentation for unconstrained handwritten document images using neighborhood connected component analysis", International Conference on Pattern Recognition and Machine Intelligence, Abhishek Khandelwal, Pritha Choudhury, Ram Sarkar, Subhadip Basu, Mita Nasipuri and Nibaran Das, 16-12-2009, 369-374
  • "Recognition of numeric postal codes from multi-script postal address block", International Conference on Pattern Recognition and Machine Intelligences, Subhadip Basu, Nibaran Das, Ram Sarkar, Mahantapas Kundu, Mita Nasipuri and Dipak Kumar Basu, 16-12-2009, 381-386
  • "A fuzzy technique for segmentation of handwritten Bangla word images", International Conference on Computing: Theory and Applications (ICCTA'07), Subhadip Basu, Ram Sarkar, Nibaran Das, Mahantapas Kundu, Mita Nasipuri and Dipak Kumar Basu, 05-03-2007 427-433
  • "Handwritten Bangla Digit Recognition Using Classifier Combination Through DS Technique", International conference on pattern recognition and machine intelligence, Subhadip Basu, Ram Sarkar, Nibaran Das, Mahantapas Kundu, Mita Nasipuri and Dipak Kumar Basu, 20-12-2005, 236-241
  • "Handwritten Bangla alphabet recognition using an MLP based classifier", 2nd National Conf. on Computer Processing of Bangla, Dhaka, Bangladesh, Subhadip Basu, Nibaran Das, Ram Sarkar, Mahantapas Kundu, Mita Nasipuri and Dipak Kumar Basu, 02-2005, pp. 285-291

ONGOING PHD SCHOLARS

ONGOING PHD SCHOLARS

Soumyajyoti Dey

MCA (Jadavpur University)
Year of Registration: 2020
Research Areas: Digital Pathology, Deep Learning

Somenath Kuiry

M.Sc (IIT Guwahati)
Year of Registration: 2018
Research Areas: Deep Learning, Uncertainty Modelling

Arnab Banerjee

MCSE (Jadavpur University)
Year of Registration: 2019
Research Areas: Computer Vision, Image Recognition

Sandip Pramanik

MCSE (Jadavpur University)
Year of Registration: 2022
Research Areas: Image Processing, Optical Character Recognition

Bidhan Barai

ME (Jadavpur University)
Year of Registration: 2015
(Thesis Submitted)
Research Areas: Computer Vision, Machine Learning

Kalpita Dutta

MTech (WBUT)
Year of Registration: 2019
(Thesis Submitted)
Research Areas: Deep Learning, Optical Character Recognition

Rahul Meshram

MTech (Nagpur University)
Year of Registration: 2019
Research Areas: Machine Learning, Image Processing

Dibyasree Guha

MTech (University of Calcutta)
Year of Registration: 2023
Research Areas: Image Processing

Snehasis Sahu

MTech (Jadavpur University)
Year of Registration: 2023
Research Areas: Deep Learning, Optical Character Recognition

Animesh Hazra

MCSE (Jadavpur University)
Year of Registration: 2023
Research Areas: Image Processing, Machine Learning

PAST PHD SCHOLARS

PAST PHD SCHOLARS

Dr. Swarnendu Ghosh

Year of Completion: 2022

Dr. Sk Md Obaidullah

Year of Completion: 2017

ONGOING MCSE/MTECH/MCA STUDENTS

ONGOING MCSE/MTECH/MCA STUDENTS

Contact Me

Contact Me

Social Profiles

Email Me

nibaran.das@jadavpuruniversity.in

Call Me

03324572407