Dr Apurva Arunkumar Desai

@vnsgu.ac.in

Professor, Department of Computer Science
Veer Narmad South Gujarat University

Dr Apurva Arunkumar Desai


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https://researchid.co/apurvadesai

RESEARCH, TEACHING, or OTHER INTERESTS

Artificial Intelligence, Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design
18

Scopus Publications

820

Scholar Citations

14

Scholar h-index

19

Scholar i10-index

Scopus Publications

  • A Novel ConvNet Architecture for Recognizing Offline Handwritten Gujarati Conjuncts
    Megha N. Parikh, Apurva A. Desai
    Lecture Notes in Networks and Systems, 2024
  • Comparative analysis, classification, and segmentation of the handwritten Gujarati conjuncts depending on the structural properties of the constituent characters
    Megha N. Parikh, Apurva A. Desai
    E Prime Advances in Electrical Engineering Electronics and Energy, 2023
    This research paper presents a comprehensive analysis, classification, and segmentation of Gujarati conjuncts, with the aim of providing a deeper understanding of the intricate conjuncts in the Gujarati script. The study investigates the coverage area and joining patterns of conjuncts to categorize them based on their distinct structural properties. The coverage area refers to the spatial extent of a conjunct and is classified into three categories: full box, upper half box, and lower half box characters. The joining patterns offer insights into how consonants are connected or merged within a conjunct, including possibilities such as horizontal lines, curves. Accurate segmentation of conjuncts is crucial for retrieving their constituent components. This paper also discusses a segmentation algorithm that considers information from neighboring pixels, as well as the joining patterns and coverage area of conjuncts. The research study incorporates 728 frequently used handwritten conjuncts of the Gujarati script. Experimental analysis is conducted on a substantial dataset of 45,000 conjuncts. The experimental results demonstrate that conjuncts falling into the lower half box category or those connected with a horizontal line or a curve exhibit the highest success rate of over 85%. Furthermore, statistical analysis reveals that the success rate remains consistent and comparable across the various character groups, providing further support for the findings.
  • Face Identification Through Facial Skeletal Features
    R. Patel Bhautika, A. Desai Apurva
    Lecture Notes in Electrical Engineering, 2022
  • Recognition of Handwritten Gujarati Conjuncts Using the Convolutional Neural Network Architectures: AlexNet, GoogLeNet, Inception V3, and ResNet50
    Megha N. Parikh, Apurva A. Desai
    Communications in Computer and Information Science, 2022
  • Segmentation of frequently used handwritten gujarati conjunctive alphabet
    Megha N. Parikh, Apurva A. Desai
    Proceedings 2019 5th International Conference on Computing Communication Control and Automation Iccubea 2019, 2019
    The segmentation of touching symbols is one of the key factors which decrease the performance of the Optical Character Recognition (OCR) system. The existence of touching characters in the documents is a major problem of the effective character segmentation system. In this paper, we have presented an algorithm for the segmentation of frequently used handwritten Gujarati conjunctive characters into its constituent symbols and characters. A predictive algorithm is developed for selecting the possible cut column for the segmentation of conjunctive characters. This algorithm uses the structural properties of the Gujarati alphabet. The possible cut column is defined by using the information derived from the neighboring pixels. This algorithm covers 728 handwritten conjunctive characters of Gujarati Script. In this conjunctive characters are segmented into easily separable characters which can be further sent to the classifier for recognition.
  • Multi-layer Classification Approach for Online Handwritten Gujarati Character Recognition
    Vishal A. Naik, Apurva A. Desai
    Advances in Intelligent Systems and Computing, 2019
  • Online handwritten Gujarati character recognition using SVM, MLP, and K-NN
    Vishal A. Naik, Apurva A. Desai
    8th International Conference on Computing Communications and Networking Technologies Icccnt 2017, 2017
    In this paper, we present a system to recognize online handwritten character for the Gujarati language. Support Vector Machine (SVM) with linear, polynomial & RBF kernel, k-Nearest Neighbor (k-NN) with different values of k and multi-layer perceptron (MLP) are used to classify strokes using hybrid feature set. This system is trained using a dataset of 3000 samples and tested by 100 different writers. We have achieved highest accuracy of 91.63% with SVM-RBF kernel and lowest accuracy of 86.72% with MLP. We have achieved minimum average processing time of 0.056 seconds per stroke with SVM linear kernel and maximum average processing time of 1.062 seconds per stroke with MLP.
  • Pattern mining using Linked list (PML) mine the frequent patterns from transaction dataset using Linked list data structure
    B. Surati Sandip, A. Desai Apurva
    8th International Conference on Computing Communications and Networking Technologies Icccnt 2017, 2017
    The Substantial amount of research has been done in the area of frequent pattern mining in the last few decades. Researchers have developed various algorithms to generate frequent patterns. We propose Pattern Mining using Linked list (PML) algorithm that generates frequent patterns using Linked list. It uses both horizontal and vertical data layout. To generate 1-itemsets, it uses horizontal data layout and for 2-itemsets and more, it uses vertical data layout. The important feature of vertical data layout is that it count the frequency fast using intersection operations on transaction ids (tids). It prunes automatically irrelevant data. The algorithm uses Linked list data structure due to which it takes less execution time to generate frequent patterns. It runs with efficient memory usage. It scans the dataset only two times. The experimental results of proposed algorithm have been compared with other algorithms.
  • Recognition of fruits using hybrid features and machine learning
    Deepika Shukla, Apurva A. Desai
    International Conference on Computing Analytics and Security Trends Cast 2016, 2017
    Recognition of fruits automatically using machine vision is considered as challenging task as fruits exist in various colors, sizes, shapes and textures. Additionally, when images are acquired of them, variation is introduced due to imaging conditions also. In this paper we have recognized nine different classes of fruits. Fruit image dataset are obtained from web as well as certain images are acquired by using mobile phone camera. These images are pre-processed to subtract the background and extract the blob representing fruit. For representing fruits and capturing their visual characteristics, combination of color, shape and texture features are used. These feature dataset is further passed to two different classifiers; multiclass SVM and KNN. The experimental results obtained are used to draw various conclusions. The best accuracy obtained by us in the study is 91.3% with KNN (K=2), classifier whereas with multiclass SVM (one-versus-all), the best accuracy obtained is 86.96%.
  • Human computer interaction through hand gestures for home automation using Microsoft Kinect
    Smit Desai, Apurva A. Desai
    Advances in Intelligent Systems and Computing, 2017
  • Identification of non-lexicon non-slang unigrams in body-enhancement medicinal UBE
    World Academy of Science Engineering and Technology, 2011
  • Zone identification for Gujarati handwritten word
    Chhaya Patel, Apurva A. Desai
    Proceedings 2nd International Conference on Emerging Applications of Information Technology Eait 2011, 2011
  • The study on data warehouse modelling and OLAP for birth registration system of the Surat City
    Pushpal Desai, Apurva A. Desai
    Communications in Computer and Information Science, 2011
  • Identification of most frequently occurring lexis in winnings-announcing unsolicited bulk e-mails
    World Academy of Science Engineering and Technology, 2011
  • Handwritten Gujarati numeral optical character recognition using hybrid feature extraction technique
    Proceedings of the 2010 International Conference on Image Processing Computer Vision and Pattern Recognition Ipcv 2010, 2010
  • Segmentation of text lines into words for Gujarati handwritten text
    Chhaya Patel, Apurva A. Desai
    Proceedings of the 2010 International Conference on Signal and Image Processing Icsip 2010, 2010
  • Gujarati handwritten numeral optical character reorganization through neural network
    Apurva A. Desai
    Pattern Recognition, 2010
  • Analysis of classifications of unsolicited bulk emails
    World Academy of Science Engineering and Technology, 2010

RECENT SCHOLAR PUBLICATIONS

  • for Recognizing Offline Handwritten Gujarati Conjuncts
    MN Parikh, AA Desai
    Innovations in Computational Intelligence and Computer Vision: Proceedings … , 2025
    2025
  • A Novel ConvNet Architecture for Recognizing Offline Handwritten Gujarati Conjuncts
    MN Parikh, AA Desai
    International Conference on Innovations in Computational Intelligence and … , 2024
    2024
  • Comparative analysis, classification, and segmentation of the handwritten Gujarati conjuncts depending on the structural properties of the constituent characters
    MN Parikh, AA Desai
    e-Prime-Advances in Electrical Engineering, Electronics and Energy 5, 100272 , 2023
    2023
    Citations: 2
  • Face Identification Through Facial Skeletal Features
    BR Patel, AA Desai
    Futuristic Trends in Networks and Computing Technologies: Select Proceedings … , 2022
    2022
  • Recognition of handwritten Gujarati conjuncts using the convolutional neural network architectures: AlexNet, GoogLeNet, inception V3, and ResNet50
    M Parikh, A Desai
    International conference on advances in computing and data sciences, 291-303 , 2022
    2022
    Citations: 13
  • Paradigm Based Part of Speech Tagging With Priorities : Implementation for Gujarati Script
    U Kapadia, A Desai
    International Journal of Computer Science Trends and Technology 10 (1), 104-112 , 2022
    2022
  • Speech Synthesizer for Gujarati Number System
    GB Shah, PS Sajja, AA Desai
    GRADIVA REVIEW JOURNAL 8 (3), 506-512 , 2022
    2022
  • Extraction and Recognition of Handwritten Gujarati Characters and Numerals from Images Using Deep Learning
    D Shukla, A Desai
    Proceedings of the International e-Conference on Intelligent Systems and … , 2021
    2021
    Citations: 5
  • An Improvement of Link Analysis Algorithm to Mine Pertinent Links: Weighted HITS Algorithm based on additive fusion of graphs by Query Similarity
    HS Patel, D Apurva A.
    International Journal of Computer Applications 176 (24), 21-27 , 2020
    2020
  • Segmentation of frequently used handwritten Gujarati conjunctive alphabet
    M Parikh, A Desai
    2019 5th international conference on computing, communication, control and … , 2019
    2019
    Citations: 8
  • Performance analysis of various wavelet filters for Gujarati text localization in images
    P Jagin M., D Apurva A.
    International Journal of Research and Analytical Reviews 2 (6), 96-100 , 2019
    2019
  • Impact of Shadow Detection and Removal on Object Recognition Using Machine Learning from Images
    D Shukla, AA Desai
    International Journal of Imaging and Robotics 19 (2), 29-39 , 2019
    2019
  • Link Analysis to discover relevant documents using Information Retrieval
    HS Patel, AA Desai
    International Journal of Computer Applications (0975 – 8887) 178 (10), 23-27 , 2019
    2019
    Citations: 2
  • Evaluation of various features of Gujarati continuous numerals speech signal used for segmentation
    BC Patel, A Desai
    International Journal of Research and Analytical Reviews 6 (2), 58-67 , 2019
    2019
  • Performance analysis of various wavelet filters for Gujarati text localization in images
    JM Patel, AA Desai
    International Journal of Research and Analytical Reviews 6 (2), 96-100 , 2019
    2019
    Citations: 1
  • Online handwritten Gujarati word recognition
    VA Naik, AA Desai
    International Journal of Computer Vision and Image Processing (IJCVIP) 9 (1 … , 2019
    2019
    Citations: 4
  • Online Handwritten Gujarati Numeral Recognition Using Support Vector Machine
    VA Naik, AA Desai
    International Journal of Computer Sciences and Engineering Open Access 6 (9 … , 2018
    2018
    Citations: 16
  • Gujarati Text Localization, Extraction and Binarization from Images
    J Patel, A Desai
    International Journal of Computer Sciences and Engineering 6 (8), 714-724 , 2018
    2018
    Citations: 3
  • Multi-layer Classification Approach for Online Handwritten Gujarati Character Recognition
    VA Naik, AA Desai
    Computational Intelligence: Theories, Applications and Future Directions … , 2018
    2018
    Citations: 12
  • Pattern mining using Linked list (PML) mine the frequent patterns from transaction dataset using Linked list data structure
    BS Sandip, AD Apurva
    2017 8th International Conference on Computing, Communication and Networking … , 2017
    2017

MOST CITED SCHOLAR PUBLICATIONS

  • Gujarati handwritten numeral optical character reorganization through neural network
    AA Desai
    Pattern recognition 43 (7), 2582-2589 , 2010
    2010
    Citations: 262
  • Online handwritten Gujarati character recognition using SVM, MLP, and K-NN
    VA Naik, AA Desai
    2017 8th international conference on computing, communication and networking … , 2017
    2017
    Citations: 60
  • Gujarati handwritten character recognition using hybrid method based on binary tree-classifier and k-nearest neighbour
    C Patel, A Desai
    International Journal of Engineering Research & Technology (IJERT) 2 (6 … , 2013
    2013
    Citations: 43
  • Support vector machine for identification of handwritten Gujarati alphabets using hybrid feature space
    AA Desai
    CSI transactions on ICT 2 (4), 235-241 , 2015
    2015
    Citations: 42
  • Human Computer Interaction through hand gestures for home automation using Microsoft Kinect
    S Desai, A Desai
    Proceedings of International Conference on Communication and Networks … , 2017
    2017
    Citations: 34
  • Handwritten Gujarati numeral optical character recognition using hybrid feature extraction technique
    AA Desai
    IPCV 2010: proceedings of the 2010 international conference on image … , 2010
    2010
    Citations: 34
  • Zone identification for Gujarati handwritten word
    C Patel, A Desai
    2011 Second international conference on emerging applications of information … , 2011
    2011
    Citations: 30
  • Variation in facial index of Gujarati males—a photometric study
    U Kanan, A Gandotra, A Desai, R Andani
    International Journal of Medical and Health Sciences 1 (4), 27-31 , 2012
    2012
    Citations: 27
  • Segmentation of text lines into words for Gujarati handwritten text
    C Patel, A Desai
    2010 International Conference on Signal and Image Processing, 130-134 , 2010
    2010
    Citations: 25
  • Segmentation of characters from old typewritten documents using radon transform
    A Desai
    Int. J. Comput. Appl 37 (9), 10-15 , 2012
    2012
    Citations: 22
  • Extraction of characters and modifiers from handwritten Gujarati words
    C Patel, A Desai
    International Journal of Computer Applications 73 (3) , 2013
    2013
    Citations: 19
  • Online Handwritten Gujarati Numeral Recognition Using Support Vector Machine
    VA Naik, AA Desai
    International Journal of Computer Sciences and Engineering Open Access 6 (9 … , 2018
    2018
    Citations: 16
  • Image steganography using mandelbrot fractal
    HV Desai, AA Desai
    International Journal of Computer Science Engineering and Information … , 2014
    2014
    Citations: 15
  • Recognition of fruits using hybrid features and machine learning
    D Shukla, A Desai
    2016 International Conference on Computing, Analytics and Security Trends … , 2016
    2016
    Citations: 14
  • Recognition of handwritten Gujarati conjuncts using the convolutional neural network architectures: AlexNet, GoogLeNet, inception V3, and ResNet50
    M Parikh, A Desai
    International conference on advances in computing and data sciences, 291-303 , 2022
    2022
    Citations: 13
  • Self learning taxonomical classification system using vector space document analysis model for web text mining in UBE
    JR Saini, AA Desai
    PhD Thesis accepted by Department of Computer Science , 2009
    2009
    Citations: 13
  • Multi-layer Classification Approach for Online Handwritten Gujarati Character Recognition
    VA Naik, AA Desai
    Computational Intelligence: Theories, Applications and Future Directions … , 2018
    2018
    Citations: 12
  • A Textual Analysis of Digits Used for Designing Yahoo Group Identifiers
    JR Saini
    2010
    Citations: 11
  • Morphological Rule Set and Lexicon of Gujarati Grammar: A Linguistics Approach
    UN Kapadia, AA Desai
    VNSGU Journal of Science and Technology 4 (1), 127-133 , 2015
    2015
    Citations: 10
  • Rule based Gujarati morphological analyzer
    U Kapadia, A Desai
    International Journal of Computer Science Issues (IJCSI) 14 (2), 30 , 2017
    2017
    Citations: 9