Vinothkanna Rajendran

@vcenggw.ac.in

Professor & Electronics and Communication Engineering
Vivekanandha College of Engineering for Women

Vinothkanna Rajendran


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https://researchid.co/rvinothkanna

RESEARCH INTERESTS

Biometrics
Image Processing
Soft Computing
18

Scopus Publications

659

Scholar Citations

13

Scholar h-index

14

Scholar i10-index

Scopus Publications

  • Robust Medicinal Plant Classification via Transfer Learning and Compound-Scaled EfficientNetB0 Architecture
    Kannan M, Prabhu M, R. Vinothkanna, R. Arul, Jayaprakash M, A.C Ramkumar
    Proceedings of the 4th IEEE International Conference on Interdisciplinary Approaches in Technology and Management for Social Innovation Iatmsi 2026, 2026
    The information on medicinal plant species is essential to preserve medicinal plants and protect biodiversity. The identification of these plants by botanist experts are complex and time-consuming process. Whereas, the emergence of advanced technologies has led to the development of alternative methods for medicinal plant identification. D eep I earning <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$m$</tex> odels based on artificial i ntelligence a re p roviding a n a ccurate d etection of medicinal plants. The results indicate that EfficientNetB0 achieves outstanding performance, with a training accuracy of 99.41% and a validation accuracy of 95.83%. Serving as an effective decision support system, the EfficientNetB0 classifier can quickly and accurately identify medicinal plants. This study introduces an innovative approach to the detection of medicinal plant species using pre-trained Convolutional Neural Network (CNN) models, demonstrating the reliability of the classifier.
  • RETRACTED ARTICLE: A novel hidden Markov model-based adaptive dynamic time warping (HMDTW) gait analysis for identifying physically challenged persons (Soft Computing, (2019), 23, 18, (8359-8366), 10.1007/s00500-019-04108-x)
    Sampath Dakshina Murthy Achanta, T. Karthikeyan, R. Vinothkanna
    Soft Computing, 2024
  • Gait-based person fall prediction using deep learning approach
    Achanta Sampath Dakshina Murthy, Thangavel Karthikeyan, R. Vinoth Kanna
    Soft Computing, 2022
  • A novel automatic system for logo-based document image retrieval using hybrid SVDM-DLNN
    Kudamala Raveendra, R. Vinothkanna
    International Journal of Computer Aided Engineering and Technology, 2021
    Many government and private organisations represent themselves to the public using their own symbols or logo which is unique from others so that anyone can easily identify their products or belongings. This gives an ownership and source documentation to the owner by simply providing such logos. Using these logos for document retrieval in the World Wide Web is a booming research in the present era. Since usage of virtual documentation is increased day by day and handling this large data becomes a problem while searching for a single data. In the present research arena, various document image retrieval models are available based on classification and clustering techniques. In this, graph techniques are used to identify the issues in the automatic logo detection model using back propagation neural network along with the single value decomposition model. This proposed research model is concerned about the document retrieval system based on the logo matching process to attain better efficiency and accuracy than the earlier detection models.
  • High performance inventive system for gait automation and detection of physically disabled persons
    R. Vinothkanna, T. Vijayakumar, N. Prabakaran
    International Journal of Intelligent Enterprise, 2021
    Physically challenged persons may face many difficulties in the present modern environment as most of the commercial facilities and utilities for a day to day life is designed for normal people to lead a sophisticated life. Particularly, people with physically disabilities face struggles in escalators in malls and public transportation places. It is very difficult for the disabled individual to be identified as one among in a large crowd and they normally feel unconformable to step inside in a running escalator. This research work proposes a novel method to identify the physically challenged persons from a large crowd by their nature of legs, walking pattern and hand sticks and provide necessary preference for them to get inside the escalators. Gait automation and detection mechanism is used for person identification for all gait events and deep learning-based neural network (DNN) is used for learning the patterns and making the system to automatically identify the physically challenged. Experimental results show that the proposed system automatically measures all the angle of gait events with an accuracy level of 95.4% and thus offers a cost effective solution for gait kinematic analysis for disabled peoples.
  • A wireless IOT system towards gait detection technique using FSR sensor and wearable IOT devices
    Sampath Dakshina Murthy Achanta, Karthikeyan T., Vinoth Kanna R.
    International Journal of Intelligent Unmanned Systems, 2020
    Purpose The recent advancement in gait analysis combines internet of things that provides better observations of person living behavior. The biomechanical model used for elderly and physically challenged persons is related to gait-related parameters, and the accuracy of the existing systems significantly varies according to different person abilities and their challenges. The paper aims to discuss these issues. Design/methodology/approach Deployment of wearable sensors in gait analysis provides a better solution while tracking the changes of the personal style, and this proposed model uses an electronics system using force sensing resistor and body sensors. Findings Experimental results provide an average gait recognition of 95 percent compared to the existing neural network-based gait analysis model based on the walking speeds and threshold values. Originality/value The sensors are used to monitor and update the predicted values of a person for analysis. Using IoT a communication process is performed in the research work by identifying a physically challenged person even in crowded areas.
  • A multimodal biometric approach for the recognition of finger print, palm print and hand vein using fuzzy vault
    R. Vinothkanna, Amitabh Wahi
    International Journal of Biomedical Engineering and Technology, 2020
    For the security reasons, person identification has got primary place by means of some of the physiological features. In this paper, multimodal biometry is utilised for the person identification with the help of three physiological features such as finger print, palm print and hand vein. Initially, in the pre-processing stage, the unwanted portions, noise content and the blur effects are removed from the input finger print, palm print and hand vein images. The features from these three modalities are extracted. The combined feature vector is obtained by chaff points and extracted features. After getting the combined feature vector points, the secret key points are added with the combined feature vector points to generate the fuzzy vault. Finally, in the recognition stage, test person's combined vector is compared with the fuzzy vault database. Now we can obtain the corresponding finger print, hand vein and palm print images.
  • A novel multimodal biometrics system with fingerprint and gait recognition traits using contourlet derivative weighted rank fusion
    R. Vinothkanna, P. K. Sasikumar
    Advances in Intelligent Systems and Computing, 2020
    We propose a novel multimodal biometric system that uses fingerprint and gait recognition traits. Fingerprint images are gathered with the help of a touchless optical sensor with total internal reflection and a capacitive line sensor. Gait samples are obtained as continuous images in 3 frames from a camera in burst mode. Features from these images are extracted with the help of Minutia Cylinder-Code (MCC) minutia descriptor. Further, the images are compared with the gathered sample database of 80 sample images. The comparison score is normalized using geometric mean. Fusion of the normalized images is done using contourlet derivative weighted rank fusion. A combination of these techniques provides an improved performance for authentication using biometrics.
  • A novel GAAC optimisation algorithm for multimodal fusion score decision making in secured biometric systems
    R. Vinothkanna, S. Sivakannan, N. Prabakaran
    International Journal of Information and Computer Security, 2020
    Increased use of biometric systems on a global scale almost for all services have seen an increasing trend in research trying to improve the quality of authentication and containment of features extracted. A multimodal biometric system based on fusion score decision making has been proposed in this paper using a hybrid evolutionary framework. Genetic and ant colony optimisation (GAAC) algorithm has been presented and implemented on features of three biometric traits namely iris, fingerprint and finger vein to obtain a decision on the authenticity of the claiming individual. Features have been extracted using a frequency domain ridgelet transform as they are better able to approximate the fine component of ridges present on the fingerprint. The proposed hybrid technique is experimented on images from CASIA image database and efficiency metrics such as classification accuracy, positive find and negative find have been computed. The computational time has also been observed to be quite satisfactory due to fast converging nature of the hybrid combination.
  • Investigation of problems faced during capturing of gait signals
    R. Vinothkanna, N. Prabakaran, S. Sivakannan
    International Journal of Medical Engineering and Informatics, 2020
    To solve the issue of close human contact in biometric authentication system, relatively a new technique gait recognition is used. The human gait is a common feature for identifying the walking manner of the person during walking and it is viewed as significant indicator for gait function of individual for experimental and research setting. Gait symmetry is usually considered as function of locomotion between the changes of the body and its activities. An exclusive advantage of gait as a biometric is its latent for detection at a distance or at low resolution or when other biometrics might not be perceivable. In this paper we investigate the problem of people recognition by their gait. The coordination and cyclic nature of the body motion makes gait as unique characteristics of each individual, thus a good biometric identification approach. The purpose of this paper is to describe some of the problems that make it difficult to apply gait as a biometric identification and use recent literature to show suggestions being made to solve some of these technical issues.
  • A novel hidden Markov model-based adaptive dynamic time warping (HMDTW) gait analysis for identifying physically challenged persons
    Sampath Dakshina Murthy Achanta, T. Karthikeyan, R. Vinothkanna
    Soft Computing, 2019
  • Hybrid ant colony optimization model for image retrieval using scale-invariant feature transform local descriptor
    Raveendra K, R. Vinothkanna
    Computers and Electrical Engineering, 2019
  • Using contourlet transform based RBFN classifier for face detection and recognition
    R. Vinothkanna, T. Vijayakumar
    Lecture Notes in Computational Vision and Biomechanics, 2019
  • A novel logo-based document retrieval using hybrid fuzzy based CSA
    International Journal of Innovative Technology and Exploring Engineering, 2019
  • A cross-correlated feature fusion technique for multimodal biometric system
    R. Vinothkanna, K. Santhi
    International Journal of Biomedical Engineering and Technology, 2017
  • Fuzzy vault fusion based multimodal biometric human recognition system with fingerprint and ear
    Journal of Theoretical and Applied Information Technology, 2014
  • An efficient finger print enhancement and recognition system viz fuzzy based filtering technique
    International Review on Computers and Software, 2013
  • Multimodal human authentication system using fingerprint and gait signals based on score level fusion
    European Journal of Scientific Research, 2012

RECENT SCHOLAR PUBLICATIONS

  • Robust Medicinal Plant Classification via Transfer Learning and Compound-Scaled EfficientNetB0 Architecture
    RAC Kannan M, Prabhu M, Vinothkanna R, Arul R, Jayaprakash M
    2026 IEEE International Conference on Interdisciplinary Approaches in … , 2026
    2026
  • Optimizing Dynamic Sampling in IoT Sensors: A Machine Learning - Driven Method for Energy-Efficient Data Collection
    RG K.Suresh Kumar, R.Vinothkanna, S.R.Ramya, S.V.Krishna Kishore, Biswadip ...
    2026
  • Retraction Note: A novel hidden Markov model-based adaptive dynamic time warping (HMDTW) gait analysis for identifying physically challenged persons: SDM Achanta et al.
    SDM Achanta, T Karthikeyan, R Vinothkanna
    Soft Computing 28 (Suppl 1), 355-355 , 2024
    2024
  • IoT Based Internet Speed Monitoring Device
    K Arun Prasath, Nandhini, Vinothkanna, Thiruppathi, Balakrishnan, Rajesh ...
    IN Patent 432200-001 , 2024
    2024
  • Fusion based feature extraction analysis of ECG signal interpretation–a systematic approach
    T Vijayakumar, R Vinothkanna, M Duraipandian
    Journal of Artificial Intelligence 3 (01), 1-16 , 2021
    2021
    Citations: 90
  • High performance inventive system for gait automation and detection of physically disabled persons
    R Vinothkanna, T Vijayakumar, N Prabakaran
    International Journal of Intelligent Enterprise 8 (4), 309-322 , 2021
    2021
    Citations: 3
  • Smart digital mammographic screening system for bulk image processing
    M Duraipandian, MR Vinothkanna
    Journal of Electrical Engineering and Automation 2 (4), 156-161 , 2021
    2021
    Citations: 2
  • A novel automatic system for logo-based document image retrieval using hybrid SVDM-DLNN
    K Raveendra, R Vinothkanna
    International Journal of Computer Aided Engineering and Technology 15 (2-3 … , 2021
    2021
    Citations: 1
  • IOT Based Health Monitoring System to Predict Cardiac Arrest
    K Nandhini, R Vinothkanna
    Strad Research 7 (9), 368-377 , 2020
    2020
  • Design and analysis of motor control system for wireless automation
    R Vinothkanna
    Journal of Electronics 2 (03), 162-167 , 2020
    2020
    Citations: 27
  • A Multimodal Biometric Approach for the recognition of Finger Print, Palm Print and Hand Vein using Fuzzy Vault
    R Vinothkanna, A Wahi
    International Journal of Biomedical Engineering and Technology 33 (1) , 2020
    2020
    Citations: 9
  • Capsule network on font style classification
    T Vijayakumar, R Vinothkanna
    Journal of Artificial Intelligence 2 (02), 64-76 , 2020
    2020
    Citations: 58
  • A wireless IOT system towards gait detection technique using FSR sensor and wearable IOT devices
    S DM, T Karthikeyan, R Vinothkanna
    International Journal of Intelligent Unmanned Systems 8 (1), 43-54 , 2020
    2020
    Citations: 49
  • Design of an autonomous mobile robot using sensor fusion for dynamic interaction
    SA Karuppusamy, D M, Pushpavathi, R Vinothkanna, D Ganeshkumar, ...
    IN Patent App. 202,041,000,376 , 2020
    2020
  • Efficient energy load distribution model using modified particle swarm optimization algorithm
    T Vijayakumar, R Vinothkanna
    Journal of Artificial Intelligence 2 (04), 226-231 , 2020
    2020
    Citations: 36
  • A survey on novel estimation approach of motion controllers for self-driving cars
    MR Vinothkanna
    Journal of Electronics 2 (04), 211-219 , 2020
    2020
    Citations: 24
  • Retrieval of complex images using visual saliency guided cognitive classification
    T Vijayakumar, R Vinothkanna
    J Innov Image Process (JIIP) 2 (02), 102-109 , 2020
    2020
    Citations: 51
  • Fuzzy logic based aeration control system for contaminated water
    T Vijayakumar, R Vinothkanna, M Duraipandian
    Journal of Electronics 2 (01), 10-17 , 2020
    2020
    Citations: 26
  • Mine Depth Analyzer for Safety with Intelligence Swarmbots using OpenCV with Tensor Flow
    R Vinothkanna, M Deepika, R Elakkiya, TMM Thasleema, E Menaka
    International Journal of Engineering Research & Technology 8 (8), 1-6 , 2020
    2020
  • A Novel GAAC Optimization Algorithm for Multimodal Fusion Score Decision Making in Secured Biometric Systems
    R Vinothkanna, S SivaKannan, N Prabakaran
    International Journal of Information and Computer Security 13 (1), 03-17 , 2020
    2020
    Citations: 2

MOST CITED SCHOLAR PUBLICATIONS

  • Mellowness Detection of Dragon Fruit Using Deep Learning Strategy
    T Vijayakumar, R Vinothkanna
    Journal of Innovative Image Processing (JIIP) 2 (01), 35-43 , 2020
    2020
    Citations: 99
  • Fusion based feature extraction analysis of ECG signal interpretation–a systematic approach
    T Vijayakumar, R Vinothkanna, M Duraipandian
    Journal of Artificial Intelligence 3 (01), 1-16 , 2021
    2021
    Citations: 90
  • Capsule network on font style classification
    T Vijayakumar, R Vinothkanna
    Journal of Artificial Intelligence 2 (02), 64-76 , 2020
    2020
    Citations: 58
  • Retrieval of complex images using visual saliency guided cognitive classification
    T Vijayakumar, R Vinothkanna
    J Innov Image Process (JIIP) 2 (02), 102-109 , 2020
    2020
    Citations: 51
  • A wireless IOT system towards gait detection technique using FSR sensor and wearable IOT devices
    S DM, T Karthikeyan, R Vinothkanna
    International Journal of Intelligent Unmanned Systems 8 (1), 43-54 , 2020
    2020
    Citations: 49
  • A Secure Steganography Creation Algorithm for Multiple File Fomats
    R Vinothkanna
    Journal of Innovative Image Processing (JIIP) 1 (1), 20-30 , 2019
    2019
    Citations: 48
  • RETRACTED ARTICLE: A novel hidden Markov model-based adaptive dynamic time warping (HMDTW) gait analysis for identifying physically challenged persons: SDM Achanta et al.
    SDM Achanta, T Karthikeyan, R Vinothkanna
    Soft Computing 23 (18), 8359-8366 , 2019
    2019
    Citations: 40
  • Cloud Based Internet of Things for Smart Connected Objects
    M Duraipandian, R Vinothkanna
    Journal of ISMAC 1 (2), 31-39 , 2019
    2019
    Citations: 38
  • Efficient energy load distribution model using modified particle swarm optimization algorithm
    T Vijayakumar, R Vinothkanna
    Journal of Artificial Intelligence 2 (04), 226-231 , 2020
    2020
    Citations: 36
  • Design and analysis of motor control system for wireless automation
    R Vinothkanna
    Journal of Electronics 2 (03), 162-167 , 2020
    2020
    Citations: 27
  • Fuzzy logic based aeration control system for contaminated water
    T Vijayakumar, R Vinothkanna, M Duraipandian
    Journal of Electronics 2 (01), 10-17 , 2020
    2020
    Citations: 26
  • A survey on novel estimation approach of motion controllers for self-driving cars
    MR Vinothkanna
    Journal of Electronics 2 (04), 211-219 , 2020
    2020
    Citations: 24
  • Hybrid ant colony optimization model for image retrieval using scale-invariant feature transform local descriptor
    K Raveendra, R Vinothkanna
    Computers & Electrical Engineering 74, 281-291 , 2019
    2019
    Citations: 17
  • Fuzzy vault fusion based multimodal biometric human recognition system with fingerprint and ear
    AW R.Vinothkanna
    Journal of Theoretical and Applied information technology 59 (2), 304-316 , 2014
    2014
    Citations: 10
  • A Multimodal Biometric Approach for the recognition of Finger Print, Palm Print and Hand Vein using Fuzzy Vault
    R Vinothkanna, A Wahi
    International Journal of Biomedical Engineering and Technology 33 (1) , 2020
    2020
    Citations: 9
  • A novel multimodal biometrics system with fingerprint and gait recognition traits using contourlet derivative weighted rank fusion
    R Vinothkanna, PK Sasikumar
    International Conference On Computational Vision and Bio Inspired Computing … , 2019
    2019
    Citations: 7
  • A Review of Escalator Accidents and Preclusion
    PBAK R.Dhanasekaran, R.Vinothkanna, S.Sreenatha Reddy, M.Narendra Kumar
    GRD Journals- Global Research and Development Journal for Engineering 1 (12 … , 2016
    2016
    Citations: 5
  • A novel approach for extracting fingerprint features from blurred images
    R Vinothkanna, A Wahi
    International Journal of Soft Computing and Engineering (IJSCE) 2 (2), 231-235 , 2012
    2012
    Citations: 5
  • A Cross-Correlated feature fusion technique for multimodal biometric system
    KS R.Vinothkanna
    International Journal of Biomedical Engineering and Technology 23 (2/3/4 … , 2017
    2017
    Citations: 4
  • High performance inventive system for gait automation and detection of physically disabled persons
    R Vinothkanna, T Vijayakumar, N Prabakaran
    International Journal of Intelligent Enterprise 8 (4), 309-322 , 2021
    2021
    Citations: 3