Dr. Dalton Meitei Thounaojam

Designation: Associate Professor

Specialization:

Contact:

Email: dalton[AT]manipuruniv.ac.in

PhD

Faculty Details Faculty List

Dr. Dalton Meitei Thounaojam

Associate Professor, Department of Computer Science

Manipur University, Canchipur, Imphal, India
 

Research Interests

1. Image processing

2. Video processing

3. Artificial Neural Network

4. Fuzzy Systems

5. Evolutionary Algorithm

6. Hybrid Intelligent System

7. Image hashing

8. Image Zero-watermarking

 

Academic Qualifications

1. Ph.D. in Information Technology, Department of CSE, Assam University, Silchar, Assam, 30th Jan. 2017.

2. M.E. in CSE, K.S. Rangaswamy College of Technology, Anna University Coimbatore, Tamil Nadu, April 2009 (CGPA 8.98).

3. B.E. in CSE, K.S. Rangaswamy College of Technology, Anna University Chennai, Tamil Nadu, April 2007 (74.075%).

 

Teaching and Work Experience

1. Associate Professor, Department of Computer Science, Manipur University, Canchipur, Imphal, Manipur, India. 18^th March 2025 – till date

2. Assistant Professor (on Lien), Department of CSE, National Institute of Technology Silchar Silchar, Assam, India. 29^th November 2012 – till date

3. Assistant Professor (contractual), Department of CSE, National Institute of Technology Manipur, Imphal, Manipur, India. 22^nd July 2012 – 28^th November 2012

4. Guest Lecturer, Department of CSE, Manipur Institute of Technology, Takyelpat, Imphal, Manipur, India. 19^th October 2009 – 21^st July 2012

 

Ph.D. Guided

1. Dr. Amit Kumar Trivedi Co-Supervisor

Scholar no.: 16-3-05-101 Department of CSE, NIT Silchar

Title: Robust and Non-invertible Cancelable Fingerprint Recognition Techniques

2. Dr. Saptarshi Chakraborty Sole Supervisor

Scholar no.: 17-3-05-108 Department of CSE, NIT Silchar

Title: A Study on Video Shot Boundary Detection System using Confirmation Stage

3. Dr. Irshed Hussain Sole Supervisor

Scholar no.: 17-3-05-110 Department of CSE, NIT Silchar

Title: Computationally Efficient Supervised Learning Method for the Biologically Plausible Spiking Neural Network–A Metaheuristic Approach

4. Dr. Moumita Roy Supervisor

Scholar no.: 18-3-05-101 Department of CSE, NIT Silchar

Title: Design and development of perceptual image hashing algorithms and its applications

 

Ph.D. Submitted

1. Mrs. Meesala Pavani Sole Supervisor

Scholar no.: 22-3-02-006 Department of CSE, NIT Silchar

Title: Design and Development of Secure Medical Image Zero Watermarking Algorithms

 

Ph.D. Ongoing

1. Mr. Prabhakar Sharma Neog Supervisor

Scholar no.: 22-3-02-101 Department of CSE, NIT Silchar

Title: Development of Robust Perceptual Image Hashing Algorithms

 

Conference Organized

1. Convener, International Conference on Intelligent Computing Systems and Applications (ICICSA 2023) from 22nd to 23rd September 2023, to be organized by National Institute of Technology Silchar.

2. Organizing Chair, International Conference on Intelligent Computing Systems and Applications (ICICSA 2022) from 23rd to 24th September 2022, organized by National Institute of Technology Silchar.

3. Organizing Chair, International Conference on Big Data, Machine Learning and Applications (BigDML 2019) from 16th to 19th December 2019, organized by National Institute of Technology Silchar.

4. Program Chair, 6th International Conference on Advanced Computing, Networking, and Informatics (ICACNI-2018) from 4th to 6th June 2018, co-organized by National Institute of Technology Silchar and National Institute of Technology Rourkela.

 

Workshop Organized

1. Coordinator, One Week Workshop on “Advances in Image Processing and Soft Computing Techniques,” held from 20th to 24th February 2017.

2. Coordinator, One Week Workshop on “Application of Machine Learning,” held from 20th to 24^th March 2017.

3. Coordinator, One Day Workshop on “Introduction to Artificial Intelligence and its Applications,” held on 22nd May 2023.

 

Journal Publication

1. Arpita Banik, Dalton Meitei Thounaojam and Dolendro Singh Laiphrakpam, “Image encryption based on module learning with error using dynamic S-boxes”. Nonlinear Dynamics, 113, 10489–10513, 2025. [SCIE]

2. Irshed Hussain, and Dalton Meitei Thounaojam, “Identification of Epileptic Seizures Utilising a Computationally Powerful Spiking Neuron”, SN Computer Science, 5, 1155, 2024. [Scopus]

3. Irshed Hussain, and Dalton Meitei Thounaojam, “A novel classification technique using a biologically plausible spiking neuron and noisy synapses”, Evolutionary Intelligence, 17, 4279–4293, 2024. [Scopus]

4. Pavani Meesala, Moumita Roy, and Dalton Meitei Thounaojam, “A robust medical image zero-watermarking algorithm using Collatz and Fresnelet Transforms”, Journal of Information Security and Applications, 85, 103855, 2024. [SCIE]

5. Pavani Meesala and Dalton Meitei Thounaojam, “Integrating Fresnelet Transform and Spiking Cortical Model for robust medical image cryptosystem in zero-watermarking”, Computers and Electrical Engineering, 118, 109371, 2024. [SCIE]

6. Prabhakar Sharma Neog, Moumita Roy, Tejas Sangale, Nandita Jain, Aditi Dahal, Ripon Pat- giri and Dalton Meitei Thounaojam, “Pyram: a robust and attack-resistant perceptual image hashing using pyramid histogram of gradients”, International Journal of Information Technology, 16, 5331–5349, 2024. [Scopus]

7. Moumita Roy, Dalton Meitei Thounaojam and Shyamosree Pal, “PIH-mSCM: A modified Spiking Cortical Model for Perceptual Image Hashing and its application to Copy Detection”, Multimedia Tools and Applications, 83, 38291–3831, 2023. [SCIE]

8. Moumita Roy, Dalton Meitei Thounaojam and Shyamosree Pal, “A perceptual hash based blind-watermarking scheme for image authentication”, Expert Systems with Applications, 227, 120237, 2023. [SCIE]

9. Moumita Roy, Dalton Meitei Thounaojam and Shyamosree Pal, “Perceptual hashing scheme using Kaze feature descriptors for combinatorial manipulations”, Multimedia Tools & Applications, 81(20), 29045-29073, 2022. [SCIE]

10. Saptarshi Chakraborty, Alok Singh, and Dalton Meitei Thounaojam, “A novel bifold-stage shot boundary detection algorithm: invariant to motion and illumination”, The Visual Computer, 38, 445–456, 2022. [SCIE]

11. Amit Kumar Trivedi, Dalton Meitei Thounaojam, and Shyamosree Pal, “A Novel Minutiae Triangulation Technique for Non-invertible Fingerprint Template Generation”, Expert Systems with Applications, 186, 115832, 2021. [SCIE]

12. Irshed Hussain, and Dalton Meitei Thounaojam, “WOLIF: An efficiently tuned classifier that learns to classify non-linear temporal patterns without hidden layers”, Applied Intelligence, 51 (4), 2173-2187, 2021. [SCIE]

13. Saptarshi Chakraborty, Dalton Meitei Thounaojam, and Nidul Sinha, “A Shot boundary Detection Technique based on Visual Colour Information”, Multimedia Tools & Applications, 80(3), 4007-4022, 2021. [SCIE]

14. Saptarshi Chakraborty and Dalton Meitei Thounaojam, “SBD-Duo: a dual stage shot boundary detection technique robust to motion and illumination effect”, Multimedia Tools & Application, vol. 80, pp. 3071–3087, 2021. [SCIE]

15. Irshed Hussain and Dalton Meitei Thounaojam, “SpiFoG: an efficient supervised learning algorithm for the network of spiking neurons”, Scientific Reports, vol. 10, pp. 13122, 2020. [SCIE]

16. Amit Kumar Trivedi, Dalton Meitei Thounaojam and Shyamosree Pal, “Non-Invertible cancellable fingerprint template for fingerprint biometric”, Computers & Security, 90, 1016901, 2020. [SCIE]

17. Alok Singh, Dalton Meitei Thounaojam and Saptarshi Chakraborty, “A novel automatic shot boundary detection algorithm: robust to illumination and motion effect”, Signal, Image and Video Processing, 14(4), 645-653, 2020. [SCIE]

18. Saptarshi Chakraborty and Dalton Meitei Thounaojam, “A novel shot boundary detection system using hybrid optimization technique”, Applied Intelligence, 49 (9), 3207-3220, 2019. [SCIE]

19. Dalton Meitei Thounaojam, T. Khelchandra, T. Jayshree, Sudipta Roy and K. Manglem Singh, “Colour Histogram and Modified Multi-layer Perceptron Neural Network based Video Shot Boundary Detection”, International Arab Journal of Information Technology, 16 (4), 686-693, 2019. [SCIE]

20. Badal Soni, Pradip K. Das and Dalton Meitei Thounaojam, “Geometric transformation invariant block based copy-move forgery detection using fast and efficient hybrid local features”, Journal of information security and applications, 45, 44-51, 2019. [SCIE]

21. Nilesh D. Gharde, Dalton Meitei Thounaojam, Badal Soni and Saroj K. Biswas, “Robust perceptual image hashing using fuzzy color histogram”, Multimedia Tools & Applications, 77 (23), 30815-30840, 2018. [SCIE]

22. Badal Soni, Pradip K. Das and Dalton Meitei Thounaojam, “Keypoints based enhanced multiple copy-move forgeries detection system using density-based spatial clustering of application with noise clustering algorithm”, IET Image Processing, 12 (11), 2092-2099, 2018. [SCIE]

23. Amit K. Trivedi, Dalton Meitei Thounaojam and Shyamosree Pal, “A robust and non-invertible fingerprint template for fingerprint matching system”, Forensic science international, 288, 256-265, 2018. [SCIE]

24. Chitralekha Chongtham, MJ Sanada Khumanthem, Y. Jina Chanu, Neelima Arambam, Dalton Meitei Thounaojam, P Roji Chanu and Kh Manglem Singh, “A copyright protection scheme for videos based on the SIFT”, Iranian Journal of Science and Technology, Transactions of Electrical Engineering, 42(1), 107-121, 2018. [SCIE]

25. Badal Soni, Pradip K. Das and Dalton Meitei Thounaojam, “Dual System for Copy-move Forgery Detection using Block-based LBP-HF and FWHT Features”, Engineering Letters, 26 (1), 2018. [Scopus]

26. Badal Soni, Pradip K. Das and Dalton Meitei Thounaojam, “CMFD: a detailed review of block based and key feature based techniques in image copy-move forgery detection”, IET Image Processing, 12 (2), 167-178, 2017. [SCIE]

27. Saroj K. Biswas, M. Chakraborty, Biswajit Purkayastha, P. Roy and Dalton Meitei Thounaojam, “Rule extraction from training data using neural network”, International Journal on Artificial Intelligence Tools, 26 (03), 1750006, 2017. [SCIE]

28. Dalton Meitei Thounaojam, Vivek S. Bhadouria, Sudipta Roy and K. Manglem Singh, “Shot boundary detection using perceptual and semantic information”, International journal of multimedia information retrieval, 6 (2), 167-174, 2017. [Scopus]

29. Dalton Meitei Thounaojam, T. Khelchandra, K. Manglem Singh and Sudipta Roy, “A genetic algorithm and fuzzy logic approach for video shot boundary detection”, Computational intelligence and neuroscience, 2016, 11, 2016. [SCIE]

30. Dalton Meitei Thounaojam, Sudipta Roy and K. Manglem Singh, “Video shot boundary detection using gray level cooccurrence matrix”, Indian Journal of Science and Technology, 9 (7), 1-5, 2016. [Scopus]

31. Hidangmayum Saxena Devi and Dalton Meitei Thounaojam, “Heterogeneous Techniques used in Face Recognition: A Survey”, ADBU Journal of Engineering Technology, 3, 2015.

32. Hidangmayum Saxena Devi, Dalton Meitei Thounaojam and Romesh Laishram, “An approach to illumination and expression invariant multiple classifier face recognition”, Int. J. Comput. Appl, 975, 10.5120, 2014.

33. Barga Deori and Dalton Meitei Thounaojam, “A survey on moving object tracking in video”, International Journal on Information Theory (IJIT), 3 (3), 31-46, 2014.

 

International Conference Publication

1. Anuj Thakur, Saroj Kr. Biswas, Sounak Majumdar and Dalton Meitei Thounaojam, “A Comprehensive Review on Different CNN Architectures”, in International Conference on Intelligent Data Communication Technologies and Internet of Things (IDCIoT), pp. 1997-2004, IEEE, 2025.

2. Apurv Anand, Saroj Kr. Biswas; Sounak Majumdar and Dalton Meitei Thounaojam, “A Review on Oversampling Techniques for the Treatment of Class Imbalance Problem”, in International Conference on Intelligent Data Communication Technologies and Internet of Things (IDCIoT), pp. 981-986, IEEE, 2025.

3. Pavani Meesala and Dalton Meitei Thounaojam, “FG-PIH: A Fusion of Fresnelet Transform and Gradient Directional Pattern for Perceptual Image Hashing”, in International Confer- ence on Recent Trends in Microelectronics, Automation, Computing and Communications Systems (ICMACC), pp. 52-57, IEEE, 2024.

4. Md Sajjad Hossain, Saroj Kr. Biswas, Dalton Meitei Thounaojam, Atiya Khan and Kazy Noor e Alam Siddiquee, “Machine Learning Algorithms for Emotion Detection using EEG Signals”, in International Conference on Computing, Applications and Systems (COMPAS), pp. 1-6, IEEE, 2024.

5. R. Rousanuzzaman, Saroj Kr. Biswas, Md Sajjad Hossain, Dalton Meitei Thounaojam, and Biswajit Purkayastha, “EPD-ECNN: Enhanced PCOS Detection with Preprocessed Ultrasound Images and Ensemble CNN Model", in International Conference on Communication, Computing and Signal Processing (IICCCS), pp. 1-6, IEEE, 2024.

6. Laiphrakpam Dolendro Singh, Md. Arshad Ahmed, Teresa Louis, Azad Ali, Dalton Meitei Thounaojam, Ripon Patgiri and Khoirom Motilal Singh, “A Secure Fingerprint Transmission Protocol for Insecure Communication Channels”, in International Conference on Intelligent Computing Systems and Applications. Lecture Notes in Networks and Systems, vol 1010. Springer, Singapore, 2024.

7. Rousanuzzaman; Saroj Kr. Biswas; Debasmita Saha; Dalton Meitei Thounaojam; Barsha Abhisheka; Soumen Das; Biswajit Purkayastha, “ESDPCOS: Effectiveness of Combined CNN and Handcrafted Features for Ovarian Cyst Detection in PCOS Patients using Ultrasound Images”, in International Conference on Electrical, Electronics and Computer Engineering (UPCON), pp. 846–851, IEEE, 2024.

8. Irshed Hussain, and Dalton Meitei Thounaojam, “An Extensive Review of the Supervised Learning Algorithms for Spiking Neural Networks”, in International Conference on Big Data, Machine Learning, and Applications. Lecture Notes in Electrical Engineering, vol 1053, pp 63–80. Springer, Singapore, 2024.

9. Goutam Agrawal, Rituraj Das, Anupam Biswas and Dalton Meitei Thounaojam, “Neural Machine Translation for English - Manipuri and English - Assamese”, in Conference on Machine Translation, pp. 931–934, ACT, 2023.

10. Tushar Banik, Saptarshi Chakraborty, Dalton Meitei Thounaojam and Debjani Bhowmik, “WOA- FNN: An innovative hybrid optimization technique for effective detection of shot boundaries”, in IEEE Silchar Subsection Conference (SILCON), pp. 1–6, IEEE, 2023.

11. Anil Kumar Dasari, Saroj Kr. Biswas, Dalton Meitei Thounaojam, Debashree Devi and Biswajit Purkayastha, “Ensemble Learning Techniques and Their Applications: An Overview”, in: Kumar, A., Mozar, S., Haase, J. (eds) Advances in Cognitive Science and Communications, pp 897–912, Springer, 2023.

12. Moumita Roy, Dalton Meitei Thounaojam and Shyamosree Pal, “Various Approaches to perceptual image hashing systems-A Survey*”, in International Conference on Intelligent Systems, Advanced Computing and Communication, pp. 1–9, IEEE, 2023.

13. Irshed Hussain, and Dalton Meitei Thounaojam, “Classification of Diabetes using the Biologically Plausible Network of Spiking Neurons”, in International Conference on Machine Learning, Computer Systems and Security, pp. 154-158, IEEE, 2022.

14. S. Reshmi, Saroj Kr. Biswas, Arpita Nath Boruah, Dalton Meitei Thounaojam and Biswajit Purkayastha, “Diabetes Prediction Using Machine Learning Analytics”, in International Conference on Machine Learning, Big Data, Cloud and Parallel Computing, pp. 108-112, IEEE, 2022.

15. Irshed Hussain, and Dalton Meitei Thounaojam, “Epileptic Seizure Classification Using Spiking Neural Network from EEG Signals”, in: Patgiri, R., Bandyopadhyay, S., Borah, M.D., Emilia Balas, V. (eds) Edge Analytics. Lecture Notes in Electrical Engineering, vol 869, pp. 297–306, Springer, Singapore, 2022.

16. Saptarshi Chakraborty, Dalton Meitei Thounaojam, Alok Singh, and Gautam Pal, “ALO-SBD: A Hybrid Shot Boundary Detection Technique for Video Surveillance System”, in: Patgiri, R., Bandyopadhyay, S., Borah, M.D., Emilia Balas, V. (eds) Edge Analytics. Lecture Notes in Electrical Engineering, vol 869. Springer, Singapore, 2022.

17. Badal Soni, Pradip K. Das, Dalton Meitei Thounaojam and D. Biswas, “Copy–Move Attack Detection from Digital Images: An Image Forensic Approach”, in Smart Computing Paradigms: New Progresses and Challenges, 69-76, 2020.

18. Manas Jyoti Gogoi, Amit Kumar Trivedi, Dalton Meitei Thounaojam, Aniruddha Bhattarchajee, Rahul Debnath and Kaushik Borah, “Ring Partition-Based Fingerprint Indexing Algorithm”, in International Conference on Machine Intelligence and Signal Processing, 1-12, 2019.

19. Badal Soni, Pradip K. Das and Dalton Meitei Thounaojam, “multiCMFD: fast and efficient system for multiple copy-move forgeries detection in image”, in proceedings of the international conference on image and graphics processing, 53-58, 2018.

20. Badal Soni, Pradip K. Das and Dalton Meitei Thounaojam, “Improved block-based technique using SURF and FAST keypoints matching for copy-move attack detection”, in International Conference on Signal Processing and Integrated Networks, 197-202, 2018.

21. Badal Soni, Pradip K. Das and Dalton Meitei Thounaojam, “An efficient block phase correlation approach for CMFD system”, in progress in Computing, Analytics and Networking, 41-49, 2018.

22. Badal Soni, Pradip K. Das and Dalton Meitei Thounaojam, “Copy-move tampering detection based on local binary pattern histogram fourier feature”, in proceedings of the 7th International Conference on Computer and Communication Technology, 78-83, 2017.

23. Badal Soni, Pradip K. Das and Dalton Meitei Thounaojam, “Blur invariant block based copy-move forgery detection technique using FWHT features”, in proceedings of the International Conference on Watermarking and Image Processing, 22-26, 2017.

24. Ananya SenGupta, Dalton Meitei Thounaojam, Kh. Manglem Singh and Sudipta Roy, “Video shot boundary detection: A review”, in IEEE International Conference on Electrical, Computer and Communication Technologies, 1-6, 2015.

25. Hidangmayum Saxena Devi, Romesh Laishram and Dalton Meitei Thounaojam, “Face recognition using R-KDA with non-linear SVM for multi-view database”, in Procedia Computer Science, 54, 532-541, 2015.

26. Dalton Meitei Thounaojam, Amit K. Trivedi, Kh. Manglem Singh and Sudipta Roy, “A survey on video segmentation”, in Intelligent computing, networking, and informatics, 903-912, 2014.

27. Barga Deori and Dalton Meitei Thounaojam, “Extended Kalman Filtering based Multiple Object Tracking in Image Sequences”, in international conference on Image and Signal Processing, 315–323, 2014.

 

National Conference Publication

1. HidangmayumSaxena Devi and Dalton Meitei Thounaojam, “Facial Feature Extraction and Classification Techniques: A Survey,” in National Conference on Emerging Global trends in Engineering and Technology, Don Bosco University, Assam, India, 2014.

 

Patent Published/Granted

1. Moumita Roy, Dalton Meitei Thounaojam and Ripon Patgiri, “A perception-based hashing sys- tem using Kaze feature descriptors for combinatorial manipulations (Ein wahrnehmungs- basiertes Hashing-System, das Kaze-Merkmalsdeskriptoren für kombinatorische Manip- ulationen verwendet)”, Germany Patent, Status: Granted, File Number: 20 2022 101 746.8.

2. Sabuzima Nayak, Ripon Patgiri, Uriti Kartheek Chandra Patnaik, Venkata Siva Nageswararao Kadiyala, Hemant Nandkishor Watane, Repudi Ramesh, Ramesh Babu Mallela and Dalton Meitei Thounaojam, “A Counting BLOOM Filter”, South Africa Patent, Status: Granted, File Number: 2022/05074.

3. Ksh. Robert Singh, Saurabh Chaudhury, Somen Debnath, Subir Datta, Subhasish Deb, Dalton Meitei Thounaojam, R.Lalchhanhima, R. Chawngsangpuii Lalhmingliana, N. Gopil Singh and Mayanglambam Sushilata Devi, “A Cascade Network System for Classification of Rice Grain”, South Africa Patent, Status: Granted, File Number: 2023/02261.

4. Irshed Hussain, Vikash Kumar and Dalton Meitei Thounaojam, “A Computationally Effi- cient Classification System to Classify Non-Linear Temporal Patterns Without Hidden Layer (Ein rechnerisch effizientes Klassifizierungssystem zur Klassifizierung nichtlinearer zeitlicher Muster ohne versteckte Schicht)”, Germany Patent, Status: Granted, File Number: 20 2023 104 383.6.

5. Kshetrimayum Robert Singh, Saurabh Chaudhury, Takhellambam Sonamani Singh, Subir Datta, Subhasish Deb, Dalton Meitei Thounaojam, Usham Robinchandra Singh, Raju Rajkumar, R. Chawngsangpuii and Nungleppam Gopil Singh, “A System for Classifying Rice Grain based on Neural Network based Feature Selection (Ein System zur Klassifizierung von Reiskörnern auf der Grundlage eines neuronalen Netzes zur Auswahl von Merkmalen)”, Germany Patent, Status: Granted, File Number: 20 2024 104 811.3.

 

Membership

1. Senior Member, IEEE.

2. Associate Member, IETE.

3. Member, IAENG.