Pradipta Kumar Banerjee

Scopus Publications

Impact of Learning Rate Schedulers on ResNet Optimization for Facial Emotion Recognition
Debosmita Chakraborty, Pradipta K. Banerjee, Sumona Datta
Lecture Notes in Networks and Systems, 2026
Phase-Encoded Cascaded Autoencoders based Correlation Filters and Adaptive Thresholding for Illumination Invariant Face Recognition
Pradipta K. Banerjee
Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics, 2025
Deep Facial Feature Fusion and Voting Strategies for Enhanced Emotion Recognition
Soumya Panja, Akash Halder, Shatoparna Bhattacharya, Pradipta K. Banerjee, Pratik Mahato, Debosmita Chakraborty
Procedia Computer Science, 2025
This paper presents a novel approach that enhances emotion recognition by leveraging deep facial feature fusion and optimized voting strategies. Unlike conventional methods that rely on a single type of feature or classifier, our approach integrates feature fusion in deep learning architecture. We employ a fusion mechanism that combines features at multiple levels, enabling a more comprehensive representation of emotional cues. Additionally, a voting strategy is introduced to refine the final emotion classification, effectively reducing the impact of misclassifications and improving overall accuracy. The proposed system is rigorously evaluated on benchmark dataset, demonstrating its superior performance compared to state-of-the-art methods. The experimental results show that our approach not only achieves higher accuracy but also exhibits robustness across varying facial expressions, lighting conditions, and occlusions.
Facial emotion recognition using unconstrained minimum average correlation energy filter
Debosmita Chakraborty, Pradipta Kr Banerjee
Aip Conference Proceedings, 2024
Views Icon Views Article contents Figures & tables Video Audio Supplementary Data Peer Review Share Icon Share Twitter Facebook Reddit LinkedIn Tools Icon Tools Reprints and Permissions Cite Icon Cite Search Site Citation Debosmita Chakraborty, Pradipta Kr Banerjee; Facial emotion recognition using unconstrained minimum average correlation energy filter. AIP Conf. Proc. 3 May 2024; 2915 (1): 020003. https://doi.org/10.1063/5.0193056 Download citation file: Ris (Zotero) Reference Manager EasyBib Bookends Mendeley Papers EndNote RefWorks BibTex toolbar search Search Dropdown Menu toolbar search search input Search input auto suggest filter your search All ContentAIP Publishing PortfolioAIP Conference Proceedings Search Advanced Search |Citation Search
Linear Regression Correlation Filter: An Application to Face Recognition
Tiash Ghosh, Pradipta K. Banerjee
Advances in Intelligent Systems and Computing, 2020
Random forest based fault classification technique for active power system networks
Debosmita Chakraborty, Ujjal Sur, Pradipta Kumar Banerjee
2019 5th IEEE International Wie Conference on Electrical and Computer Engineering Wiecon Ece 2019 Proceedings, 2019
In recent times, integration of distributed energy resources with conventional power networks has been increased rapidly and with that several interlinking converters and power electronic devices are there. This increases the complexity of the system. In this paper, a fault classification technique based on random forest classifier has been proposed. As the random forest tree is an artificial intelligence tool, therefore, it is guaranteed the results obtained are of high accuracy value. The high accuracy in fault detection and classification is highly needed for a power system network to eradicate the fault from the system. This method has been tested over both transmission and distribution networks to show the efficacy of this proposed method, where the distribution network is a modified practical Indian distribution grid. Also a comparative study of this method with existing classification techniques like SVM, KNN and others has been done.
A Class Specific Representation Learning for Illumination Tolerant Face Recognition
Tiash Ghosh, Pradipta K. Banerjee
Communications in Computer and Information Science, 2019
Unconstrained band-pass optimized correlation filter (UBoCF): An application to face recognition
Amith Achuthanunni, Ratul Kishore Saha, Pradipta K. Banerjee
Proceedings of 2018 IEEE Applied Signal Processing Conference Aspcon 2018, 2018
An unconstrained band-pass optimized correlation filter(UBoCF) is proposed for illumination invariant and noise tolerant face recognition. A wavelet filter is combined with high-pass filter to achieve the band-pass filter. Proposed high-pass filter is of unconstrained type correlation filter. The proposed UBoCF is further optimized to achieve single correlation approach instead of multi-correlation. The proposed filter has an ability to overcome both illumination and noisy problems during face classification. The comparative performance of UBoCF is evaluated with standard databases. Better accuracy comparing to other correlation filters is reported here.
Band-pass correlation filter for illumination- and noise-tolerant face recognition
Pradipta K. Banerjee, Asit K. Datta
Signal Image and Video Processing, 2017
Face detection and recognition: Theory and practice
Asit Kumar Datta, Madhura Datta, Pradipta Kumar Banerjee
Face Detection and Recognition Theory and Practice, 2015
Face detection and recognition are the nonintrusive biometrics of choice in many security applications. Examples of their use include border control, driver's license issuance, law enforcement investigations, and physical access control.Face Detection and Recognition: Theory and Practice elaborates on and explains the theory and practice of face de
Class specific subspace dependent nonlinear correlation filtering for illumination tolerant face recognition
Pradipta K. Banerjee, Asit K. Datta
Pattern Recognition Letters, 2014
Efficient image plane rotation invariant frequency domain face recognition technique using eye localization
Papia Banerjee, Pradipta K. Banerjee, Asit K. Datta
Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics, 2013
An illumination tolerant class specific 2D subspace based face recognition technique using optimum correlation filter
Pradipta K. Banerjee, Asit K. Datta
Optik, 2013
A preferential digital-optical correlator optimized by particle swarm technique for multi-class face recognition
Pradipta K. Banerjee, Asit K. Datta
Optics and Laser Technology, 2013
Generalized regression neural network trained preprocessing of frequency domain correlation filter for improved face recognition and its optical implementation
Pradipta K. Banerjee, Asit K. Datta
Optics and Laser Technology, 2013
Phase-eigen subspace based illumination invariant face recognition using associative memory
Papia Banerjee, Pradipta K. Banerjee
2012 National Conference on Computing and Communication Systems Ncccs 2012 Proceeding, 2012
Techniques of frequency domain correlation for face recognition and its photonic implementation
Face Recognition Methods Applications and Technology, 2012
Sub image based eigen fabrics method using multi-class SVM classifier for the detection and classification of defects in woven fabric
A. Basu, J. K. Chandra, P. K. Banerjee, S. Bhattacharyya, A. K. Datta
2012 3rd International Conference on Computing Communication and Networking Technologies Icccnt 2012, 2012
Class dependent 2D correlation filter for illumination tolerant face recognition
Pradipta K. Banerjee, Jayanta K. Chandra, Asit K. Datta
Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics, 2012
Singular value decomposition method for the detection of defects in woven fabric refined by morphological operation
Jayanta K. Chandra, Pradipta K. Banerjee, Asit K. Datta
2011 IEEE Recent Advances in Intelligent Computational Systems Raics 2011, 2011
Face detection and eye localization in video by 3D unconstrained filter and neural network
Pradipta K. Banerjee, Jayanta K. Chandra, Asit K. Datta
Communications in Computer and Information Science, 2011
Feature based optimal trade-off parameter selection of frequency domain correlation filter for real time face authentication
Pradipta K. Banerjee, Jayanta K. Chandra, Asit K. Datta
ACM International Conference Proceeding Series, 2011
Feature Based Optimal Trade-off Parameter Selection of Frequency Domain Correlation Filter for Real Time Face Authentication
Pradipta K. Banerjee, Jayanta K. Chandra, Asit K. Datta
Proceedings of the International Conference on Communication Computing and Security Icccs 2011, 2011
Neural network trained morphological processing for the detection of defects in woven fabric
Jayanta K. Chandra, Pradipta K. Banerjee, Asit K. Datta
Journal of the Textile Institute, 2010
A frequency domain face recognition technique based on correlation plane features as input to a regression neural network
Pradipta K. Banerjee, Jayanta K. Cahndra, Asit K. Datta
Procedia Computer Science, 2010
SVM classifier for face recognition based on unconstrained correlation filter
Pradipta K. Banerjee, Jayanta K. Chandra, Asit K. Datta
Icsipa09 2009 IEEE International Conference on Signal and Image Processing Applications Conference Proceedings, 2009
Illumination and noise tolerant face recognition based on eigen-phase correlation filter modified by Mexican hat wavelet
Pradipta K. Banerjee, Asit K. Datta
Journal of Optics India, 2009
Morphological reconstruction operation for the detection of defects in woven fabric
Jayanta K. Chandra, Pradipta K. Banerjee, Asit K. Datta
IEEE Region 10 Colloquium and 3rd International Conference on Industrial and Information Systems Iciis 2008, 2008

Pradipta Kumar Banerjee

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Scopus Publications