Jenkin Winston

@karunya.edu

Assistant Professor, ECE
Karunya Institute of Technology and Sciences

Jenkin Winston


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https://researchid.co/jenkinwinston

RESEARCH INTERESTS

Image Analysis using machine learning and deep learning
21

Scopus Publications

191

Scholar Citations

8

Scholar h-index

6

Scholar i10-index

Scopus Publications

  • Comparative Analysis of Filtering Algorithms for Brain Tumor Image Enhancement
    Riyajacob, J. Jenkin Winston
    2026 6th International Conference on Advances in Electrical Computing Communications and Sustainable Technologies Icaect 2026, 2026
  • Brain Tumor Segmentation using Osprey Optimization Assisted DeepLabV3+ Model
    Riya Jacob, J. Jenkin Winston
    Journal of Cancer Research Updates, 2025
    Brain tumors are among the frequently diagnosed malignant conditions across all age groups. Accurately determining their grade has a major challenge for radiologists in clinical assessments and automatic diagnostic systems. Identifying tumor types and implementing preventive measures remains one of the most complex processes of brain tumor classification. Various Deep Learning (DL) models are proposed in the existing approaches for enhancing the accuracy of brain tumor classification. But, the challenges like training time and complexity are occurred in these works. To tackle these issues, this work presents a Enhanced DeepLabV3+ to segment and categorize brain tumor. At first, non-local means (NLM) filtering is utilized for pre-processing for reducing noise and preserving essential structural details. Then, the Enhanced DeepLabV3+ is employed for segmentation, with AlexNet is the backbone for segmentation tasks. To further refine the segmentation process, hyperparameter optimization of the DeepLabV3 architecture is conducted using the Osprey Optimization Algorithm (OOA) approach and provide significant improvements in brain tumor segmentation performance. The evaluation is performed on the Brain TCIA and Figshare datasets and achieved better accuracies of 98.97% and 99.23% respectively.
  • Artificial Intelligence in Ear Disease Detection and Classification: Current Trends and Future Prospects
    Sumi Sudhakar, J. Jenkin Winston
    Proceedings of the 9th International Conference on Electronics Communication and Aerospace Technology Iceca 2025, 2025
  • A miniaturized uniplanar MIMO antenna for n79/n46/millimeter-wave applications
    Jeevitha Joseph, Gunamony Shine Let, Chandran Benin Pratap, J Jenkin Winston
    International Journal of Communication Systems, 2023
    This research suggests a compact uniplanar multiple‐input multiple‐output (MIMO) with four ports for n79/n46/millimeter‐wave (mm‐wave) applications. The size of the quad MIMO is only 30 × 30 × 0.8 mm3. MIMO system consists of four identical Z‐shaped radiators and common ground on the same plane and no decoupling structures are used for isolation. The system covers the bandwidth of 1.9 GHz (4.4–6.3 GHz) with a mid‐frequency of 5.6 GHz and also covers the high‐band frequencies ranging from 18 to 30 GHz with a bandwidth of 12 GHz. The suggested quad MIMO is fabricated on an FR‐4 board, and the measured outcomes are well in line with the simulated results. An isolation value of −11 dB has been achieved for mid‐band frequency and −24 dB has been attained for mm‐wave bands. Through the value of DG = 10 dB, ECC < 0.07, TARC < −3 dB, MEG < −5 dB, and the ratio of MEG = 1 dB, uniplanar quad MIMO shows acceptable MIMO diversity performance. The entire system was evaluated for the users' hand specific absorption rate (SAR) impacts and is within the limits. After the complete analysis of the miniature quad MIMO antenna, an 8‐port, and a 16‐port uniplanar MIMO are simulated for smartphone‐sized dielectric substrates and the performances were examined. The suggested MIMO system provides an efficient single‐layer MIMO antenna to 5G smartphones with high bandwidth and low SAR. The proposed quad MIMO systems are suitable for both the sub‐6 GHz band and the mm‐wave band.
  • Effective Detection of Copy Move Forgery Using Surf
    R A Rakhi, Aldin Justin Sundararaj, R. Catherine Joy, J. Jenkin Winston
    Icspc 2023 4th International Conference on Signal Processing and Communication, 2023
    Copy move forgery is a technique for altering digital images by copying and pasting contents from the original image into different parts of the same image. It is of great importance to detect tampering as the credibility of digital images are being lost. Keypoint based methods proved to be efficient in localizingforgery. The proposed method uses SURF for feature extractionand improved forgery localization method for efficiently localizing forgery. Finally, comparison with the existing keypoint based methods to prove the efficiency of forgery localization in digital images. The tampered image is displayed as binary image for better understanding. The proposed methods efficiently localize forgery even if the tampered region is rescaled, rotated or blurred. The performance is validated by TPR, FPR and F1 score and comparing the same with the existing methods.
  • Hybrid deep convolutional neural models for iris image recognition
    J. Jenkin Winston, D. Jude Hemanth, Anastassia Angelopoulou, Epaminondas Kapetanios
    Multimedia Tools and Applications, 2022
  • Vulnerabilities and Ethical Issues in Machine Learning for Smart City Applications
    K. Martin Sagayam, Roopa Jeyasingh, J. Jenkin Winston, Tony Jose
    Advances in Science Technology and Innovation, 2022
  • Performance-enhanced modified self-organising map for iris data classification
    J. Jenkin Winston, D. Jude Hemanth
    Expert Systems, 2021
    Biometric systems are widely used in applications such as forensics and military. Biometric authentication is a challenging and complex task. These biometric systems must be accurate for practical applications. In this era of artificial intelligence, artificial neural network‐based classifiers are widely used in biometric‐based systems. However, most of the artificial neural network‐based classifiers are less accurate and computationally complex. In this work, two modified self‐organising map (SOM) networks are proposed for iris image classification to improve the performance measures. Particle swarm optimization technique is used in the training process of conventional SOM. The experiments are carried out with conventional and modified classifiers. The proposed modified classifiers provide better performance than the conventional SOM classifier.
  • Combination of thermal and sRGB imaging techniques for advanced surveillance system
    K. Martin Sagayam, J. Jenkin Winston, Mohd Helmy Abd Wahab, Bharat Bhushan, Radzi Ambar, et al.
    Annals of Emerging Technologies in Computing, 2021
    Surveillance is described as close observation; this term is used mostly when it comes to security observations and recording. Nowadays in our daily life we see the need of security rising up with the constant increase in the world of technology and features. On the other hand, the industries and firms continuously face threats and are pushed to a situation of seeking help for their safety. Also, that there are various blind spots in the regular security cam even the operator is not in a position to identify an emergency or any such need. This work is focused on providing clarity to such issues to the respective personal. It might be an industry, an office workspace, a supermarket or even a house. This concept deals with the enhancement of the surveillance system by infusing two different frames of Thermal and sRGB obtained input and give the output of noise reduced, enhanced and more visible image.
  • Moments-Based Feature Vector Extraction for Iris Recognition
    J. Jenkin Winston, D. Jude Hemanth
    Advances in Intelligent Systems and Computing, 2020
  • Performance comparison of feature extraction methods for iris recognition
    J. Winston, D. Hemanth
    Frontiers in Artificial Intelligence and Applications, 2020
  • Novel optimization based hybrid self-organizing map classifiers for iris image recognition
    J. Jenkin Winston, Gul Fatma Turker, Utku Kose, D. Jude Hemanth
    International Journal of Computational Intelligence Systems, 2020
  • A comprehensive review on iris image-based biometric system
    J. Jenkin Winston, D. Jude Hemanth
    Soft Computing, 2019
  • Classifiers in IRIS Biometrics for Personal Authentication
    S Pradeepa, R Anisha, Winston J Jenkin
    2nd International Conference on Signal Processing and Communication Icspc 2019 Proceedings, 2019
  • Iris Image Error Correction Techniques
    Jenkin Winston, Prashanthi, Olive Teresa, Shruti Sekar, Sarah
    2nd International Conference on Signal Processing and Communication Icspc 2019 Proceedings, 2019
  • Pyramid-Based Multi-scale Enhancement Method for Iris Images
    J. Jenkin Winston, D. Jude Hemanth
    Advances in Intelligent Systems and Computing, 2019
  • Iris image recognition using optimized kohonen self organizing neural network
    J.J. Winston, D.J. Hemanth, A. Angelopoulou, E. Kapetanios
    Iet Conference Publications, 2019
  • Authentication of biometric system using fingerprint recognition with euclidean distance and neural network classifier
    International Journal of Innovative Technology and Exploring Engineering, 2019
  • Prominence of cooperative communication in 5G cognitive radio systems
    G. Shine Let, G. Josemin Bala, J. Jenkin Winston, M. Deepak Raj, C. Benin Pratap
    Proceedings of IEEE International Conference on Circuit Power and Computing Technologies Iccpct 2017, 2017
  • Novel local binary textural pattern for analysis and classification of mammogram using support vector machine
    Narain Ponraj, Jenkin Winston, Poongodi, Merlin Mercy
    Proceedings of IEEE International Conference on Signal Processing and Communication Icspc 2017, 2017
  • Improving sensing and throughput of the cognitive radio network
    J. Christopher Clement, D. S. Emmanuel, J. Jenkin Winston
    Circuits Systems and Signal Processing, 2015

RECENT SCHOLAR PUBLICATIONS

  • Brain Tumor Segmentation using Osprey Optimization Assisted DeepLabV3+ Model
    R Jacob, JJ Winston
    Journal of Cancer Research Updates 14, 128-140 , 2025
    2025
    Citations: 2
  • A miniaturized uniplanar MIMO antenna for n79/n46/millimeter‐wave applications
    J Joseph, GS Let, CB Pratap, JJ Winston
    International Journal of Communication Systems 36 (9), e5477 , 2023
    2023
    Citations: 3
  • Effective Detection of Copy Move Forgery Using Surf
    RA Rakhi, AJ Sundararaj, RC Joy, JJ Winston
    2023 4th International Conference on Signal Processing and Communication … , 2023
    2023
  • Hybrid deep convolutional neural models for iris image recognition
    JJ Winston, DJ Hemanth, A Angelopoulou, E Kapetanios
    Multimedia Tools and Applications 81 (7), 9481-9503 , 2022
    2022
    Citations: 24
  • Vulnerabilities and Ethical Issues in Machine Learning for Smart City Applications
    KM Sagayam, R Jeyasingh, JJ Winston, T Jose
    Machine Learning Techniques for Smart City Applications: Trends and … , 2022
    2022
  • Combination of Thermal and sRGB imaging Techniques for Advanced Surveillance System
    KM Sagayam, JJ Winston, MHA Wahab, B Bhushan, R Ambar, HM Poad
    Annals of Emerging Technologies in Computing (AETiC) 5 (5), 27-33 , 2021
    2021
    Citations: 1
  • Performance‐enhanced modified self‐organising map for iris data classification
    JJ Winston, DJ Hemanth
    Expert Systems 38 (1), e12467 , 2021
    2021
    Citations: 8
  • Moments-based feature vector extraction for iris recognition
    J Jenkin Winston, D Jude Hemanth
    International Conference on Innovative Computing and Communications … , 2020
    2020
    Citations: 9
  • Novel optimization based hybrid self-organizing map classifiers for iris image recognition
    JJ Winston, GF Turker, U Kose, D Jude Hemanth
    International Journal of Computational Intelligence Systems 13 (1), 1048-1058 , 2020
    2020
    Citations: 10
  • Performance comparison of feature extraction methods for iris recognition
    JJ Winston, DJ Hemanth
    Information Technology and Intelligent Transportation Systems, 62-70 , 2020
    2020
    Citations: 4
  • Iris image recognition using optimized Kohonen self organizing neural network
    JJ Winston, DJ Hemanth, A Angelopoulou, E Kapetanios
    9th International Conference on Imaging for Crime Detection and Prevention … , 2019
    2019
    Citations: 3
  • A comprehensive review on iris image-based biometric system
    JJ Winston, DJ Hemanth
    Soft Computing 23 (19), 9361-9384 , 2019
    2019
    Citations: 66
  • Iris Image Error Correction Techniques
    J Winston, O Teresa, S Sekar
    2019 2nd International Conference on Signal Processing and Communication … , 2019
    2019
  • Pyramid-Based Multi-scale Enhancement Method for Iris Images
    JJ Winston, DJ Hemanth
    Recent Trends in Signal and Image Processing: Proceedings of ISSIP 2018, 13-21 , 2019
    2019
  • Authentication of biometric system using fingerprint recognition with euclidean distance and neural network classifier
    KM Sagayam, DN Ponraj, J Winston, JC Yaspy, DE Jeba, A Clara
    Int. J. Innov. Technol. Explor. Eng 8 (4), 766-771 , 2019
    2019
    Citations: 34
  • Novel local binary textural pattern for analysis and classification of mammogram using support vector machine
    N Ponraj, J Winston, M Mercy
    2017 International Conference on Signal Processing and Communication (ICSPC … , 2017
    2017
    Citations: 4
  • Prominence of cooperative communication in 5G cognitive radio systems
    GS Let, GJ Bala, JJ Winston, MD Raj, CB Pratap
    2017 International Conference on Circuit, Power and Computing Technologies … , 2017
    2017
    Citations: 13
  • Improving sensing and throughput of the cognitive radio network
    J Christopher Clement, DS Emmanuel, J Jenkin Winston
    Circuits, Systems, and Signal Processing 34 (1), 249-267 , 2015
    2015
    Citations: 10

MOST CITED SCHOLAR PUBLICATIONS

  • A comprehensive review on iris image-based biometric system
    JJ Winston, DJ Hemanth
    Soft Computing 23 (19), 9361-9384 , 2019
    2019
    Citations: 66
  • Authentication of biometric system using fingerprint recognition with euclidean distance and neural network classifier
    KM Sagayam, DN Ponraj, J Winston, JC Yaspy, DE Jeba, A Clara
    Int. J. Innov. Technol. Explor. Eng 8 (4), 766-771 , 2019
    2019
    Citations: 34
  • Hybrid deep convolutional neural models for iris image recognition
    JJ Winston, DJ Hemanth, A Angelopoulou, E Kapetanios
    Multimedia Tools and Applications 81 (7), 9481-9503 , 2022
    2022
    Citations: 24
  • Prominence of cooperative communication in 5G cognitive radio systems
    GS Let, GJ Bala, JJ Winston, MD Raj, CB Pratap
    2017 International Conference on Circuit, Power and Computing Technologies … , 2017
    2017
    Citations: 13
  • Novel optimization based hybrid self-organizing map classifiers for iris image recognition
    JJ Winston, GF Turker, U Kose, D Jude Hemanth
    International Journal of Computational Intelligence Systems 13 (1), 1048-1058 , 2020
    2020
    Citations: 10
  • Improving sensing and throughput of the cognitive radio network
    J Christopher Clement, DS Emmanuel, J Jenkin Winston
    Circuits, Systems, and Signal Processing 34 (1), 249-267 , 2015
    2015
    Citations: 10
  • Moments-based feature vector extraction for iris recognition
    J Jenkin Winston, D Jude Hemanth
    International Conference on Innovative Computing and Communications … , 2020
    2020
    Citations: 9
  • Performance‐enhanced modified self‐organising map for iris data classification
    JJ Winston, DJ Hemanth
    Expert Systems 38 (1), e12467 , 2021
    2021
    Citations: 8
  • Performance comparison of feature extraction methods for iris recognition
    JJ Winston, DJ Hemanth
    Information Technology and Intelligent Transportation Systems, 62-70 , 2020
    2020
    Citations: 4
  • Novel local binary textural pattern for analysis and classification of mammogram using support vector machine
    N Ponraj, J Winston, M Mercy
    2017 International Conference on Signal Processing and Communication (ICSPC … , 2017
    2017
    Citations: 4
  • A miniaturized uniplanar MIMO antenna for n79/n46/millimeter‐wave applications
    J Joseph, GS Let, CB Pratap, JJ Winston
    International Journal of Communication Systems 36 (9), e5477 , 2023
    2023
    Citations: 3
  • Iris image recognition using optimized Kohonen self organizing neural network
    JJ Winston, DJ Hemanth, A Angelopoulou, E Kapetanios
    9th International Conference on Imaging for Crime Detection and Prevention … , 2019
    2019
    Citations: 3
  • Brain Tumor Segmentation using Osprey Optimization Assisted DeepLabV3+ Model
    R Jacob, JJ Winston
    Journal of Cancer Research Updates 14, 128-140 , 2025
    2025
    Citations: 2
  • Combination of Thermal and sRGB imaging Techniques for Advanced Surveillance System
    KM Sagayam, JJ Winston, MHA Wahab, B Bhushan, R Ambar, HM Poad
    Annals of Emerging Technologies in Computing (AETiC) 5 (5), 27-33 , 2021
    2021
    Citations: 1
  • Effective Detection of Copy Move Forgery Using Surf
    RA Rakhi, AJ Sundararaj, RC Joy, JJ Winston
    2023 4th International Conference on Signal Processing and Communication … , 2023
    2023
  • Vulnerabilities and Ethical Issues in Machine Learning for Smart City Applications
    KM Sagayam, R Jeyasingh, JJ Winston, T Jose
    Machine Learning Techniques for Smart City Applications: Trends and … , 2022
    2022
  • Iris Image Error Correction Techniques
    J Winston, O Teresa, S Sekar
    2019 2nd International Conference on Signal Processing and Communication … , 2019
    2019
  • Pyramid-Based Multi-scale Enhancement Method for Iris Images
    JJ Winston, DJ Hemanth
    Recent Trends in Signal and Image Processing: Proceedings of ISSIP 2018, 13-21 , 2019
    2019