UTPAL ROY
@visvabharati.ac.in
Professor
Visva-Bharati
RESEARCH, TEACHING, or OTHER INTERESTS
Computer Engineering, Computer Science, Artificial Intelligence, Computer Vision and Pattern Recognition
48
Scopus Publications
1941
Scholar Citations
25
Scholar h-index
57
Scholar i10-index
Scopus Publications
- Advancing Smartphone Sensor-Based Keystroke Dynamics for Implicit and Active Authentication: Addressing Challenges and Enhancing Usability Control
Soumen Roy, Utpal Roy, Devadatta Sinha, and Rajat Kumar Pal
Springer Nature Singapore - Entry-Point Adaptive Keystroke Dynamics-Based User Authentication for Evolving Passwords
Sandip Dutta, Soumen Roy, Ratna Mondal, Trisha Ghosh, and Utpal Roy
Springer Nature Switzerland - Exploring the Limits of Classical Random Number Generation and Unveiling Quantum Alternatives
Rounak Biswas, Dhruv Roy Talukdar, and Utpal Roy
Springer Nature Singapore - A novel approach to identify parkinson’s disease and other similar neural stress by analysing keystrokes on modern active devices with ensemble classification
Soumen Roy, Utpal Roy, Devadatta Sinha, and Rajat Kumar Pal
Springer Science and Business Media LLC - A Low Resource Multi-lingual Simultaneous Script Identification and Text Recognition Model
Jayati Mukherjee and Utpal Roy
Springer Science and Business Media LLC - A Comprehensive Study of the Performances of Imbalanced Data Learning Methods with Different Optimization Techniques
Debashis Roy, Utathya Aich, Anandarup Roy, and Utpal Roy
Springer Nature Switzerland - Authenticating Smartphone Users Continuously Even if the Smartphone is in the User’s Pocket
Sandip Dutta, Soumen Roy, and Utpal Roy
Springer Nature Switzerland - A unique approach towards keystroke dynamics-based entry-point user access control
Soumen Roy, Devadatta Sinha, Rajat Kumar Pal, and Utpal Roy
Inderscience Publishers - Learning from Imbalanced Data in Healthcare: State-of-the-Art and Research Challenges
Debashis Roy, Anandarup Roy, and Utpal Roy
Springer Nature Singapore - Verifying the Reliability of Quantum Random Number Generator: A Comprehensive Testing Approach
Rounak Biswas, Dhruv Roy Talukdar, and Utpal Roy
Springer Science and Business Media LLC - Imbalanced ensemble learning in determining Parkinson's disease using Keystroke dynamics
Soumen Roy, Utpal Roy, Devadatta Sinha, and Rajat Kumar Pal
Elsevier BV - Bengali Hate Speech Detection Using Deep Learning Technique
- Predicting Useful Information From Typing Patterns Using a Bootstrapped-Based Homogeneous Ensemble Approach
Soumen Roy, Utpal Roy, Devadatta Sinha, and Rajat Kumar Pal
Springer Nature Singapore - An Unsupervised and Robust Line and Word Segmentation Method for Handwritten and Degraded Printed Document
Jayati Mukherjee, Swapan K. Parui, and Utpal Roy
Association for Computing Machinery (ACM)
Segmentation of text lines and words in an unconstrained handwritten or a machine-printed degraded document is a challenging document analysis problem due to the heterogeneity in the document structure. Often there is un-even skew between the lines and also broken words in a document. In this article, the contribution lies in segmentation of a document page image into lines and words. We have proposed an unsupervised, robust, and simple statistical method to segment a document image that is either handwritten or machine-printed (degraded or otherwise). In our proposed method, the segmentation is treated as a two-class classification problem. The classification is done by considering the distribution of gap size (between lines and between words) in a binary page image. Our method is very simple and easy to implement. Other than the binarization of the input image, no pre-processing is necessary. There is no need of high computational resources. The proposed method is unsupervised in the sense that no annotated document page images are necessary. Thus, the issue of a training database does not arise. In fact, given a document page image, the parameters that are needed for segmentation of text lines and words are learned in an unsupervised manner. We have applied our proposed method on several popular publicly available handwritten and machine-printed datasets (ISIDDI, IAM-Hist, IAM, PBOK) of different Indian and other languages containing different fonts. Several experimental results are presented to show the effectiveness and robustness of our method. We have experimented on ICDAR-2013 handwriting segmentation contest dataset and our method outperforms the winning method. In addition to this, we have suggested a quantitative measure to compute the level of degradation of a document page image. - A Systematic Literature Review on Latest Keystroke Dynamics Based Models
Soumen Roy, Jitesh Pradhan, Abhinav Kumar, Dibya Ranjan Das Adhikary, Utpal Roy, Devadatta Sinha, and Rajat Kumar Pal
Institute of Electrical and Electronics Engineers (IEEE) - IoMT in Healthcare Industry—Concepts and Applications
Anirban Mitra, Utpal Roy, and B. K. Tripathy
Springer Nature Singapore - AI for Stress Diagnosis at Home Environment
Soumen Roy, Utpal Roy, Devadatta Sinha, and Rajat Kumar Pal
Springer Nature Singapore - Identifying age group and gender based on activities on touchscreen
Soumen Roy, Devadatta Sinha, and Utpal Roy
Inderscience Publishers - Recognition of Degraded Bangla Documents Using Hybrid Deep Neural Network Model
Jayati Mukherjee and Utpal Roy
IEEE
Digitization of degraded document by Optical Character Recognition is an active research area in the context of document analysis. This will help to edit document electronically, to perform content based searching and finally to store it for easy document management. Considering the popularity and heritage, in this work degraded printed Bangla document has been considered as a source material to be digitized. The well known ISIDDI database of Bangla degraded document has been exploited in the present research. This database contains 535 images of printed Bengali pages. These pages are of different fonts, sizes, formats together with different levels of degradation, collected from various sources. From these page images character samples have been extracted and 336 character classes are identified which are now ready for classification. In this research work we have developed an CNN-XGBoost hybrid model for better classification. Here CNN extracts the features of the character images automatically and XGBoost technique is responsible for better classification and recognition. The classification accuracy thus obtained is 91.86%, which outperforms the accuracies of the classifiers exercised so far on the ISIDDI datasets. - NN-based analytic approach to symbol level recognition for degraded Bengali printed documents
Jayati Mukherjee, Swapan K Parui, and Utpal Roy
Springer Science and Business Media LLC - Gait Identity Verification Using Equipped Smartphone Sensors
Debjyoti Ghosh, Soumen Roy, Utpal Roy, and D. D. Sinha
IEEE
A strong and convenient identity verification method is always demanded. Nowadays, the advanced sensing features like gyroscope, accelerometer and rotation information are easily available through a smartphone. These prominent and hidden features (orientation and force) created simultaneously against any activities on a smartphone that can be used in user identity verification instead of considering morphological features (video and image). Two similarity measure algorithms (Euclidean and Manhattan) have been used on the collected dataset from 63 users in 5 sessions with 4 repetitions and we got 8.7% of EER (Equal Error Rate). This study also explains the data collection tools, data capture procedure and anomaly detection for further development in this topic area. - Deep Learning Approach in Predicting Personal Traits Based on the Way User Type on Touchscreen
Soumen Roy, Utpal Roy, and D. D. Sinha
Springer Singapore - The probability of predicting personality traits by the way user types on touch screen
Soumen Roy, Utpal Roy, and D. D. Sinha
Springer Science and Business Media LLC - Analysis of typing pattern in identifying soft biometric information and its impact in user recognition
Soumen Roy, Utpal Roy, and D. D. Sinha
Springer Singapore - Identifying Soft Biometric Traits Through Typing Pattern on Touchscreen Phone
Soumen Roy, Utpal Roy, and Devadatta Sinha
Springer Singapore
RECENT SCHOLAR PUBLICATIONS
- A novel approach to identify parkinson’s disease and other similar neural stress by analysing keystrokes on modern active devices with ensemble classification
S Roy, U Roy, D Sinha, RK Pal
Multimedia Tools and Applications, 1-40 2025 - Refining the Impact of Quantum Noise: From Chaotic Effects to Contribution in Randomness Generation
R Biswas, U Roy
2024 - Unsupervised Feature Selection for High-Dimensional Data Using Clustering and Multi-Objective Optimization
S Laha, U Roy
International Conference on Biologically Inspired Techniques in Many 2024 - Advanced Keystroke Dynamics for Secure Smartphone Authentication
S Dutta, S Roy, U Roy
International Conference on Biologically Inspired Techniques in Many 2024 - A Low Resource Multi-lingual Simultaneous Script Identification and Text Recognition Model
J Mukherjee, U Roy
SN Computer Science 5 (6), 740 2024 - Advancing Smartphone Sensor-Based Keystroke Dynamics for Implicit and Active Authentication: Addressing Challenges and Enhancing Usability Control
S Roy, U Roy, D Sinha, RK Pal
International Symposium on Applied Computing for Software and Smart Systems 2024 - Space–time clusters and co-occurrence of Plasmodium vivax and Plasmodium falciparum malaria in West Bengal, India
M Maiti, U Roy
Malaria Journal 23 (1), 189 2024 - Spatial environment and open defecation: in pursuit of social valuation of sanitation ecosystem services
S Chakraborty, J Novotn, J Das, PP Patel, I Maity, U Roy
The Professional Geographer 76 (3), 303-317 2024 - Mimicking Photon Source Measurement with Quantum Digital Twin: A Framework for High-Quality Randomness
R Biswas, U Roy
International Journal of Information Technology, Research and Applications 3 2024 - Exploring the Limits of Classical Random Number Generation and Unveiling Quantum Alternatives
R Biswas, DR Talukdar, U Roy
International Conference on Network Security and Blockchain Technology, 35-45 2024 - Learning from imbalanced data in healthcare: State-of-the-art and research challenges
D Roy, A Roy, U Roy
Computational Intelligence in Healthcare Informatics, 19-32 2024 - Evaluating Space Time Cluster and Co-occurrence of Malaria Vectors of West Bengal in India
M Maiti, U Roy
2024 - Entry-Point Adaptive Keystroke Dynamics-Based User Authentication for Evolving Passwords
S Dutta, S Roy, R Mondal, T Ghosh, U Roy
International Conference on Computational Intelligence in Communications and 2024 - Verifying the reliability of quantum random number generator: A comprehensive testing approach
R Biswas, D Roy Talukdar, U Roy
SN Computer Science 5 (1), 140 2024 - Lifestyle and the early onset of diabetes mellitus among young adults
T Shaw, U Roy
Developments in Environmental Science 15, 383-393 2024 - A unique approach towards keystroke dynamics-based entry-point user access control
S Roy, D Sinha, RK Pal, U Roy
International Journal of Biometrics 16 (2), 133-157 2024 - Multi-modal Biometric Authentication: Harnessing Human Gait and Keystroke Dynamics for Enhanced Security
S Dutta, U Roy, S Roy
International Conference on Computational Technologies and Electronics, 311-322 2023 - Quantum Measurement and Inherent Randomness: A Study on Modified Hadamard Based Xorshift Pseudorandom Number Generator Algorithm
R Biswas, U Roy
International Conference on Computational Technologies and Electronics, 228-239 2023 - Diversity of Termites from Durgapur Government College Campus, Paschim Bardhaman, West Bengal, India
US Roy
International Journal of Ecology and Environmental Sciences 49 (6), 651-653 2023 - Assessing the climate-disaster-led migration scenario in the Indian Sundarbans
S Bandyopadhyay, C Mallik, U Roy
International Migration, COVID-19, and Environmental Sustainability, 97-115 2023
MOST CITED SCHOLAR PUBLICATIONS
- PANDA Phase One: PANDA collaboration
G Barucca, F Dav, G Lancioni, P Mengucci, L Montalto, PP Natali, ...
The European Physical Journal A 57, 1-36 2021
Citations: 114 - Ecotoxicological Assessment of Tannery Effluent Using Guppy Fish (Poecilia reticulata) as an Experimental Model: A Biomarker Study
A Aich, AR Goswami, US Roy, SK Mukhopadhyay
Journal of Toxicology and Environmental Health, Part A 78 (4), 278-286 2015
Citations: 72 - Feasibility studies of time-like proton electromagnetic form factors at ANDA at FAIR
PANDA Collaboration, B Singh, W Erni, B Krusche, M Steinacher, ...
The European Physical Journal A 52, 1-23 2016
Citations: 57 - Study on avifaunal diversity from three different regions of North Bengal, India
US Roy, P Banerjee, SK Mukhopadhyay
Asian Journal of Conservation Biology 1 (2), 120-129 2012
Citations: 56 - Precision resonance energy scans with the PANDA experiment at FAIR: Sensitivity study for width and line shape measurements of the X (3872)
Panda Collaboration, G Barucca, F Davı, G Lancioni, P Mengucci, ...
The European Physical Journal A 55, 1-18 2019
Citations: 52 - Feasibility study for the measurement of transition distribution amplitudes at in
B Singh, W Erni, B Krusche, M Steinacher, N Walford, H Liu, Z Liu, B Liu, ...
Physical Review D 95 (3), 032003 2017
Citations: 52 - Coalition formation for cooperative service-based message sharing in vehicular ad hoc networks
B Das, S Misra, U Roy
IEEE Transactions on Parallel and Distributed Systems 27 (1), 144-156 2015
Citations: 50 - A novel approach to skew detection and character segmentation for handwritten Bangla words
A Roy, TK Bhowmik, SK Parui, U Roy
Digital Image Computing: Techniques and Applications (DICTA'05), 30-30 2005
Citations: 47 - In pursuit of sustainability–Spatio-temporal pathways of urban growth patterns in the world's largest megacities
S Chakraborty, H Dadashpoor, J Novotn, I Maity, A Follmann, PP Patel, ...
Cities 131, 103919 2022
Citations: 46 - Study of doubly strange systems using stored antiprotons
B Singh, W Erni, B Krusche, M Steinacher, N Walford, B Liu, H Liu, Z Liu, ...
Nuclear Physics A 954, 323-340 2016
Citations: 44 - Coastal dilemma: climate change, public assistance and population displacement
S Dasgupta, D Wheeler, S Bandyopadhyay, S Ghosh, U Roy
World Development 150, 105707 2022
Citations: 39 - Changes in densities of waterbird species in Santragachi Lake, India: potential effects on limnochemical variables
US Roy, AR Goswami, A Aich, SK Mukhopadhyay
Zoological Studies 50 (1), 76-84 2011
Citations: 38 - Design and optimization of parity generator and parity checker based on quantum-dot cellular automata
S Santra, U Roy
World Academy of Science, Engineering and Technology, International Journal 2014
Citations: 36 - Design and implementation of quantum cellular automata based novel adder circuits
S Santra, U Roy
International Journal of Computer, Electrical, Automation, Control and 2014
Citations: 36 - Comparison of avifaunal diversity in and around Neora valley national park, West Bengal, India
US Roy, A Pal, P Banerjee, SK Mukhopadhyay
Journal of Threatened Taxa, 2136-2142 2011
Citations: 36 - Characterization of brinjal (Solanum melongena L.) germplasm
P Hazra, A Rout, U Roy, S Nath, T Roy, R Dutta, S Acharya, AK Mondal
Veg. Sci 30 (2), 145-149 2003
Citations: 34 - A systematic literature review on latest keystroke dynamics based models
S Roy, J Pradhan, A Kumar, DRD Adhikary, U Roy, D Sinha, RK Pal
IEEE Access 10, 92192-92236 2022
Citations: 30 - Discriminative HMM training with GA for handwritten word recognition
TK Bhowmik, SK Parui, U Roy
2008 19th International conference on pattern recognition, 1-4 2008
Citations: 30 - SWGMM: a semi-wrapped Gaussian mixture model for clustering of circular–linear data
A Roy, SK Parui, U Roy
Pattern Analysis and Applications 19, 631-645 2016
Citations: 29 - Metallothionein as a biomarker to assess the effects of pollution on Indian Major carp species from wastewater-fed fishponds of East Calcutta wetlands (a Ramsar Site)
US Roy, B Chattopadhyay, S Datta, SK Mukhopadhyay
Environmental Research, Engineering and Management 58 (4), 10-17 2011
Citations: 29