Dr. Mahesh Goyani

@gecmodasa.ac.in

Associate Professor, Department of Computer Engineering
GOvernment Engineering College, Modasa

Dr. Mahesh Goyani


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https://researchid.co/mgoyani

RESEARCH, TEACHING, or OTHER INTERESTS

Computer Vision and Pattern Recognition, Artificial Intelligence
24

Scopus Publications

852

Scholar Citations

15

Scholar h-index

21

Scholar i10-index

Scopus Publications

  • Hidden adversarial attack on facial biometrics - A comprehensive survey
    Sheilla Ann Bangoy Pacheco, Jheanel Espiritu Estrada, Mahesh M Goyani
    Procedia Computer Science, 2025
    Deep learning models are widely used in pattern recognition and computer vision applications. Such models are susceptible to adversarial attacks like blur, noise, translation, flip, rotation, illumination change, etc. Their vulnerability to adversarial attacks poses critical challenges in terms of privacy, security, and reliability. Attackers target such systems and manipulate input or the model parameters to misbehave the model. Such attacks are big threats to authorization systems, such as criminal identification, attendance monitoring, surveillance, airport, and human-computer interaction (HCI) systems. Face recognition is one of the most widely used biometric systems and could be a soft target for attackers. This article presents a comprehensive study of adversarial attacks on face recognition systems, their implications, threat models, etc. By understanding the nature of adversarial threats and adopting robust defense strategies, can pave the way for safer and more trustworthy face recognition systems. This article summarized state-of-the-art adversarial attacks with their characteristics. The article also through lights on open research areas and the future scopes in the adversarial attack. This comprehensive review can serve as a ready-to-go reference for readers.
  • Robust Face Recognition Under Adversarial Attack Using SARGAN Model and Improved Cross Triple MobileNetV1
    Sheilla Ann Bangoy Pacheco, Jheanel Espiritu Estrada, Mahesh M. Goyani
    Lecture Notes in Networks and Systems, 2025
  • Least Variance based Modeling of Heart Disease Prediction System using Ensemble Technique
    16th International Conference on Advances in Computing Control and Telecommunication Technologies Act 2025, 2025
  • Enhanced content-based image retrieval using multivisual features fusion
    Sheilla Ann Bangoy Pacheco, Mahesh Goyani, Zain G. Rehman, Sania F. Rehman, Tushar Champaneria, et al.
    International Journal of Computers and Applications, 2025
    Traditional text-based image retrieval (TBIR) uses image metadata, like keywords, names, descriptions, etc. for image search. This approach often lacks accuracy, leading to the retrieval of irrelevant images. Content-Based Image Retrieval (CBIR) leverages the actual content of image – such as color, texture, shape, and spatial information – to search through large datasets. CBIR provides better accuracy in image retrieval as it concentrates on the actual content instead of just metadata. We propose a system that combines various color, texture, and spatial features, such as Color Coherence Vector (CCV), Histogram of Oriented Gradients (HOG), Color Histogram, Color Moments, and Local Binary Pattern (LBP). Additionally, we applied Principal Component Analysis (PCA) to squeeze the high dimensionality of the features. We also optimized the features using Linear Discriminant Analysis (LDA), which simplifies the search process. We used three benchmark datasets, Corel-1K, Corel-10K, and GHIM-10K, for our experiment. The proposed method exhibits the Average Precision Rate (APR) of 99.74%, 97.30%, and 86.15% on Corel-1K, Corel-10K, and GHIM-10K datasets, respectively. The reported Average Recall Rate (ARR) is 9.75%, 9.73%, and 1.83% on respective datasets. We compared our work with many recent state-of-the-art methods, and the results show that it surpasses all of them.
  • Multi-label remote sensing scene classification using two-level double channel spatial attention residual blocks
    Sagar Chavda, Mahesh Goyani
    Journal of Applied Remote Sensing, 2024
  • Adapting face recognition to the masked world: leveraging deep attention networks with a custom dataset
    Himani Trivedi, Mahesh Goyani
    International Journal of Computers and Applications, 2024
    In the era of COVID-19, past face recognition algorithms' performance is downgraded due to the partial occlusion of face mask. A new Indian face image dataset has been proposed titled, Handcrafted Indian Face (HIF) dataset, addressing the issues, viz. variegated illumination, pose, and partial occlusion conditions. It bridges the gap between the performance of the DL models used, pre and post COVID-19 effect. A novel idea for choosing the train-test sample has been presented in the paper, which improves the accuracy on existing state of art DL models. In this paper, a new DL architecture has been proposed named the InceptBlock Enhanced Attention Fusion Network (IBEAFNet) which consists of the combination of ECBAM (Enhanced Convolution Block Attention Module) and InceptionV3 architecture. The proposed architecture's attention layer placement allows it to suppress less relevant mask regions of face, while emphasizing on significant fine and coarse level features with reduced complexity. IBEAFNet is trained and tested on two existing datasets, viz. Casia & Yale (including simulated masked images) and the proposed HIF dataset. The performance of IBEAFNet is compared with the results fetched by changing the attention layers in IBEAFNet with the blocks of SENet and CBAM. IBEAFNet outperformed the state-of-art models with the accuracy of 91.00%, 89.5%, and 93.00% on CASIA, Yale, and HIF dataset, respectively.
  • Scene Level Image Classification: A Literature Review
    Sagar Chavda, Mahesh Goyani
    Neural Processing Letters, 2023
  • A Transition of Face Recognition to Mask Face Recognition Using Improvised Attention DL Model
    Himani Trivedi, Mahesh Goyani
    2023 3rd International Conference on Intelligent Technologies Conit 2023, 2023
    With the emergence of the communicable fatal Covid-19 virus and increased level of air pollution, every individual is adapting to wear a facial mask now a days, due to which the existing Face Recognition Models are experiencing reduction in accuracy rate. The study in this paper is aimed to analyze the rate of drop in test accuracy for the task of face recognition from normal face recognition to the recognition of masked faces. Also, it targets to analyze the behavior of Convolution Block Attention mechanism with 10 different deep learning architectures as trunk branch. This paper discusses a novel idea to generate a sample space for training by various combinations of original face images, simulated masked faces and augmentation, from the original 2 datasets which improves the test accuracy of the models. The combination of InceptionV3+CBAM proves to be the best model with the peak accuracy of 88.78% & 88.62% and least model’s inference time of 512 & 923 milliseconds on Yale and Casia subset datset respectively among all other 9 implemented attention models. Moreover the proposed implementation of InceptionV3+CBAM also succeeds to achieve better accuracy as compared to existing models by using proposed set of dataset (Original face Images+ Simulated Mask faces+Augmentation) type for training.
  • Shot Segmentation and Replay Detection for Cricket Video Summarization
    Khushali R. Raval, Mahesh M. Goyani
    Proceedings of International Conference on Computational Intelligence and Sustainable Engineering Solution Cises 2023, 2023
    Interest in video summarization is increased recently. People are fascinated by watching sports videos, but as videos are lengthy to watch and exciting events only occupy a small segment of the video, it is needed to represent such a long video in its precise and summarized view. Shot segmentation and replay detection are important tools in video analysis and can help automate many tasks related to video processing and content creation. It is noticed that exciting events in sports videos are usually replayed. We proposed an approach to detect cricket video shot boundaries and extract replay segments from the cricket video sequence. The proposed technique is simple and computationally effective. The results show the effectiveness and usefulness of an approach.
  • A survey on event detection based video summarization for cricket
    Khushali R. Raval, Mahesh M. Goyani
    Multimedia Tools and Applications, 2022
  • Robust image retrieval using CCV, GCH, and MS-LBP descriptors
    Sagar Chavda, Mahesh Goyani
    Multimedia Tools and Applications, 2022
  • ROBUST CONTENT-BASED IMAGE RETRIEVAL USING ICCV, GLCM, AND DWT-MSLBP DESCRIPTORS
    Sagar M Chavda, Mahesh M Goyani
    Computer Science, 2022
  • Hybrid Approach to Content-Based Image Retrieval Using Modified Multi-Scale LBP and Color Features
    Sagar Chavda, Mahesh Goyani
    SN Computer Science, 2020
  • Template matching and machine learning-based robust facial expression recognition system using multi-level Haar wavelet
    Mahesh Goyani, Narendra Patel
    International Journal of Computers and Applications, 2020
  • A comprehensive study on face recognition: methods and challenges
    Parekh Payal, Mahesh M. Goyani
    Imaging Science Journal, 2020
  • A Review of Movie Recommendation System: Limitations, Survey and Challenges
    Chaurasia Neha Sunilkumar
    Electronic Letters on Computer Vision and Image Analysis, 2020
  • Robust Facial Expression Recognition using Local Haar Mean Binary Pattern
    Journal of Information Science and Engineering, 2018
  • Recognition of facial expressions using Local Mean Binary Pattern
    Mahesh M Goyani, Narendra Patel
    Electronic Letters on Computer Vision and Image Analysis, 2017
  • Performance analysis of block and non block based approach of invisible image watermarking using SVD in DCT domain
    Mahesh Goyani, Gunvantsinh Gohil
    Communications in Computer and Information Science, 2011
  • Geometry and skin color based hybrid approach for face tracking in colour environment
    Mahesh Goyani, Gitam Shikkenawis, Brijesh Joshi
    Communications in Computer and Information Science, 2011
  • Key frame detection based semantic event detection and classification using heirarchical approach for cricket sport video indexing
    Mahesh M. Goyani, Shreyash K. Dutta, Payal Raj
    Communications in Computer and Information Science, 2011
  • Top down hierarchical histogram based approach for printed Devnagri script charecter isolation
    Trusha Gajjar, Rekha Teraiya, Gunvantsinh Gohil, Mahesh Goyani
    Communications in Computer and Information Science, 2011
  • Robust face recognition in low dimensional subspace using reconstructive and discriminative features
    Mahesh Goyani, Gunvantsinh Gohil, Amit Chaudhari
    Proceedings 2011 International Conference on Communication Systems and Network Technologies Csnt 2011, 2011
  • Performance analysis of lip synchronization using LPC, MFCC and PLP speech parameters
    Mahesh Goyani, Namrata Dave, N.M. Patel
    Proceedings 2010 International Conference on Computational Intelligence and Communication Networks Cicn 2010, 2010

RECENT SCHOLAR PUBLICATIONS

  • Enhanced content-based image retrieval using multivisual features fusion
    SAB Pacheco, M Goyani, ZG Rehman, SF Rehman, T Champaneria, ...
    International Journal of Computers and Applications 47 (10), 835-856 , 2025
    2025
    Citations: 7
  • Robust face recognition under adversarial attack using SARGAN model and improved cross triple MobileNetV1
    SAB Pacheco, JE Estrada, MM Goyani
    Future of Information and Communication Conference, 491-510 , 2025
    2025
    Citations: 3
  • Least Variance based Modeling of Heart Disease Prediction System using Ensemble Technique.
    SA Pacheco, JP Bangoy, ZG Rehman, SF Rehman, SV Goyani, ...
    Grenze International Journal of Engineering & Technology (GIJET) 11 , 2025
    2025
  • Hidden adversarial attack on facial biometrics-a comprehensive survey
    SAB Pacheco, JE Estrada, MM Goyani
    Procedia Computer Science 258, 1383-1390 , 2025
    2025
    Citations: 3
  • Multi-label remote sensing scene classification using two-level double channel spatial attention residual blocks
    S Chavda, M Goyani
    Journal of Applied Remote Sensing 18 (3), 036511-036511 , 2024
    2024
    Citations: 6
  • Adapting face recognition to the masked world: leveraging deep attention networks with a custom dataset
    H Trivedi, M Goyani
    International Journal of Computers and Applications 46 (6), 427-441 , 2024
    2024
    Citations: 8
  • Robust Face Recognition in the Presence of Diverse challenges: A Hybrid Deep Neural Network Approach
    H Trivedi, M Goyani
    JOURNAL OF ENGINEERING 14 (10), 55-62 , 2024
    2024
    Citations: 2
  • A transition of face recognition to mask face recognition using improvised attention dl model
    H Trivedi, M Goyani
    2023 3rd International Conference on Intelligent Technologies (CONIT), 1-7 , 2023
    2023
    Citations: 3
  • Masked Face Recognition by Reconstructing Face Using Image Inpainting with GAN
    J Bhagat, M Goyani
    Recent Trends in Computational Intelligence and Its Application, 26-34 , 2023
    2023
    Citations: 1
  • Scene level image classification: a literature review
    S Chavda, M Goyani
    Neural Processing Letters 55 (3), 2471-2520 , 2023
    2023
    Citations: 17
  • Shot segmentation and replay detection for cricket video summarization
    KR Raval, MM Goyani
    2023 International Conference on Computational Intelligence and Sustainable … , 2023
    2023
    Citations: 10
  • A survey on event detection based video summarization for cricket
    KR Raval, MM Goyani
    Multimedia Tools and Applications 81 (20), 29253-29281 , 2022
    2022
    Citations: 20
  • Robust content-based image retrieval using ICCV, GLCM, and DWT-MSLBP descriptors
    S Chavda, M Goyani
    Computer Science 23, 5-36 , 2022
    2022
    Citations: 6
  • Robust image retrieval using CCV, GCH, and MS-LBP descriptors
    S Chavda, M Goyani
    Multimedia Tools and Applications 81 (3), 4039-4072 , 2022
    2022
    Citations: 10
  • A detailed Study of Digital Image Watermarking Techniques
    S Patel, A Katharotiya, M Goyani
    no. October , 2022
    2022
    Citations: 2
  • Nonverbal Communication through Facial Expression in Diverse Conditions
    M Goyani
    Types of Nonverbal Communication, 11 , 2021
    2021
  • Hybrid approach to content-based image retrieval using modified multi-scale LBP and color features
    S Chavda, M Goyani
    SN Computer Science 1 (6), 305 , 2020
    2020
    Citations: 21
  • Template matching and machine learning-based robust facial expression recognition system using multi-level Haar wavelet
    M Goyani, N Patel
    International Journal of Computers and Applications 42 (4), 360-371 , 2020
    2020
    Citations: 13
  • A comprehensive study on face recognition: methods and challenges
    P Payal, MM Goyani
    The Imaging Science Journal 68 (2), 114-127 , 2020
    2020
    Citations: 54
  • A review of movie recommendation system: Limitations, Survey and Challenges
    M Goyani, N Chaurasiya
    ELCVIA. Electronic letters on computer vision and image analysis 19 (3), 0018-37 , 2020
    2020
    Citations: 152

MOST CITED SCHOLAR PUBLICATIONS

  • A review of movie recommendation system: Limitations, Survey and Challenges
    M Goyani, N Chaurasiya
    ELCVIA. Electronic letters on computer vision and image analysis 19 (3), 0018-37 , 2020
    2020
    Citations: 152
  • Comparative analysis between DCT & DWT techniques of image compression
    A Katharotiya, S Patel, M Goyani
    Journal of information engineering and applications 1 (2), 9-17 , 2011
    2011
    Citations: 138
  • A comprehensive study on face recognition: methods and challenges
    P Payal, MM Goyani
    The Imaging Science Journal 68 (2), 114-127 , 2020
    2020
    Citations: 54
  • Multi-level haar wavelet based facial expression recognition using logistic regression
    M Goyani, N Patel
    Indian Journal of Science and Technology 10 (9), 1-9 , 2017
    2017
    Citations: 35
  • Image deblurring techniques—a detail review
    MM Sada, MM Goyani
    Int. J. Sci. Res. Sci. Eng. Technol 4 (2), 15 , 2018
    2018
    Citations: 34
  • Recognition of facial expressions using local mean binary pattern
    MM Goyani, N Patel
    ELCVIA: electronic letters on computer vision and image analysis 16 (1), 54-67 , 2017
    2017
    Citations: 30
  • A literature survey on facial expression recognition using global features
    VJ Mistry, MM Goyani
    Int. J. Eng. Adv. Technol 2 (4), 653-657 , 2013
    2013
    Citations: 29
  • A survey on digital video watermarking
    S Patel, A Katharotiya, M Goyani
    International Journal Comp. Tech. Appl 2 (6), 3015-3018 , 2011
    2011
    Citations: 24
  • Performance analysis of lip synchronization using LPC, MFCC and PLP speech parameters
    M Goyani, N Dave, NM Patel
    2010 international conference on computational intelligence and … , 2010
    2010
    Citations: 23
  • Chain code and holistic features based OCR system for printed devanagari script using ANN and SVM
    G Gohil, R Teraiya, M Goyani
    International Journal of Artificial Intelligence & Applications 3 (1), 95 , 2012
    2012
    Citations: 22
  • Hybrid approach to content-based image retrieval using modified multi-scale LBP and color features
    S Chavda, M Goyani
    SN Computer Science 1 (6), 305 , 2020
    2020
    Citations: 21
  • A survey on event detection based video summarization for cricket
    KR Raval, MM Goyani
    Multimedia Tools and Applications 81 (20), 29253-29281 , 2022
    2022
    Citations: 20
  • Wicket fall concept mining from cricket video using a-priori algorithm
    M Goyani, S Dutta, G Gohil, S Naik
    Proc Int J Multimedia Appl (IJMA) 3 (1) , 2011
    2011
    Citations: 19
  • Scene level image classification: a literature review
    S Chavda, M Goyani
    Neural Processing Letters 55 (3), 2471-2520 , 2023
    2023
    Citations: 17
  • 3D face recognition techniques-a review
    PB Sharma, MM Goyani
    International Journal of Engineering Research and Applications (IJERA) 2 (1 … , 2012
    2012
    Citations: 17
  • Enhanced multistage content based image retrieval
    N Chauhan, M Goyani
    IJCSMC 2 (5), 175-179 , 2013
    2013
    Citations: 15
  • Template matching and machine learning-based robust facial expression recognition system using multi-level Haar wavelet
    M Goyani, N Patel
    International Journal of Computers and Applications 42 (4), 360-371 , 2020
    2020
    Citations: 13
  • Key frame detection based semantic event detection and classification using heirarchical approach for cricket sport video indexing
    MM Goyani, SK Dutta, P Raj
    International Conference on Computer Science and Information Technology, 388-397 , 2011
    2011
    Citations: 12
  • Shot segmentation and replay detection for cricket video summarization
    KR Raval, MM Goyani
    2023 International Conference on Computational Intelligence and Sustainable … , 2023
    2023
    Citations: 10
  • Robust image retrieval using CCV, GCH, and MS-LBP descriptors
    S Chavda, M Goyani
    Multimedia Tools and Applications 81 (3), 4039-4072 , 2022
    2022
    Citations: 10