N Shobha Rani

@amrita.edu

Associate Professor School of Computing
Amrita vishwa Vidyapeetham



                             

https://researchid.co/shobharani

Dr. N. Shobha Rani is an Associate Professor at Department of Computer Science, Amrita Vishwa Vidyapeetham, Mysore. Her research interests are in the field of document digitization, OCR and information capture, plant disease detection and classification and other Computer Vision and deep learning based technologies. She has 10+ years of experience in this field of document image analysis and applications along with teaching experience of 14+ years.

Shobha was working as Research Scholar at MIT Mysore. In this role, she has devised and implemented solutions which will contribute to information capture efficiency improvement by OCR along with solutions for pre-processing challenges in pre-printed documents suitable for Govt. organizations. As part of this she has experience in dealing with document images which are structured as well as unstructured, type written & handwritten, dealing with documents with graphical information content. Currently she is guiding six research scholars wit

EDUCATION

Ph.D. (June 2012 to January 2017) - Doctorate in Computer Science & Technology from University of Mysore under supervision of Dr. T. Vasudev

Title of thesis: An Enhanced Frame Work for Pre-Processing and Character Recognition Systems Suitable for Telugu Documents

UGC-NET (National Eligibility Test) Qualified-June 2020

KSET Karnataka State Eligibility Test Assistant Professor Qualified- Dec 2018

M.Sc. (2006-2008) - Master of Science in Computer Science from Sri Venkateswara University, Tirupathi, A.P.

B.Sc. (2002-2005) - Bachelor of Science in Maths, Physics and Computer Science from Sri Krishna Devaraya University, Anantapur, Andhra Pradesh

RESEARCH, TEACHING, or OTHER INTERESTS

Computer Vision and Pattern Recognition, Artificial Intelligence, Computer Science, Signal Processing

665

Scholar Citations

13

Scholar h-index

22

Scholar i10-index

RECENT SCHOLAR PUBLICATIONS

  • Robust Classification of Smartphone Captured Handwritten Document Images Using Deep Learning
    KS Koushik, BJB Nair, NS Rani, M Javed
    IEEE Access 2024

  • Infield disease detection in citrus plants: integrating semantic segmentation and dynamic deep learning object detection model for enhanced agricultural yield
    NS Rani, AS Krishna, M Sunag, MA Sangamesha, BR Pushpa
    Neural Computing and Applications 36 (35), 22485-22510 2024

  • TopoGeoFusion: Integrating object topology based feature computation methods into geometrical feature analysis to enhance classification performance
    NS Rani, KS Sai, BR Pushpa, AS Krishna, MA Sangamesha, KR Bhavya, ...
    MethodsX 13, 102859 2024

  • PLM-Res-U-Net: A light weight binarization model for enhancement of multi-textured palm leaf manuscript images
    NS Rani, TM Akhilesh, BJB Nair, KS Koushik, EB Smith
    Digital Applications in Archaeology and Cultural Heritage 34, e00360 2024

  • Innovative Fusion: Attention-Augmented Support Vector Machines for Superior Text Classification for Social Marketing
    RM Devadas, V Hiremani, JP Gujjar, NS Rani, KR Bhavya
    Advances in Data Analytics for Influencer Marketing: An Interdisciplinary 2024

  • Early-Stage Disease Prediction in Chilli Plant Using YOLO Models
    R Manoj, S Girish, BR Pushpa, NS Rani, D Sangamesha
    2024 Second International Conference on Advances in Information Technology 2024

  • On the importance of integrating convolution features for Indian medicinal plant species classification using hierarchical machine learning approach
    BR Pushpa, NS Rani, M Chandrajith, N Manohar, SSK Nair
    Ecological Informatics 81, 102611 2024

  • A modified deep semantic binarization network for degradation removal in palm leaf manuscripts
    NS Rani
    Multimedia Tools and Applications 83 (23), 62937-62969 2024

  • Stochastic calculus-guided reinforcement learning: A probabilistic framework for optimal decision-making
    RM Devadas, V Hiremani, KR Bhavya, NS Rani
    MethodsX 12, 102790 2024

  • A Novel Approach for Tomato Quality Evaluation: Computer Vision in Maturity Assessment and Disease Detection
    PA KY, TP Kulkarni, BR Pushpa, NS Rani, MA Sangamesha
    2024 5th International Conference for Emerging Technology (INCET), 1-8 2024

  • Advanced Plant Species Classification with Interclass Similarity using a Fine-Grained Computer Vision Approach
    PA Dhruthi, BM Somashekhar, NS Rani, H Lin
    2024 International Conference on Advances in Modern Age Technologies for 2024

  • Identification and Detection of Leaf Miner, Pests Infestation in Cucurbitaceae Family in Real Time Infield Scenarios using YOLOv5s Object Detection Model
    MAK Prasad, NS Rani, MA Sangamesha, KV Vinay
    2024 11th International Conference on Computing for Sustainable Global 2024

  • Early-Stage Disease Prediction in Chilli Plant Using YOLO Models
    M R, S Girish, P B R, NS Rani, S D
    International Conference on Advances in Information Technology (ICAIT) 2024

  • Intelligent Techniques For Nutrition Level Prediction In Guava Plants
    RS Nadiger, G Suresh, S Rani N, A Prabhu, S M A
    Asia Pacific Conference on Innovation in Technology (APCIT 2024), 10.1109 2024

  • A Comprehensive Study on Patient Privacy and Data Security in Big Data Healthcare Applications
    R Devadas, V Hiremani, NS Rani, KR Bhavya, R Sapna
    Clinical Practice and Unmet Challenges in AI-Enhanced Healthcare Systems, 23-41 2024

  • Towards Removal of Shadows Caused due to Object Interferences in Smartphone Captured Document Images using Multiple Mask Generation Technique
    K KS, NS Rani
    2024

  • Automated Detection and Classification of Cotton Leaf Diseases: A Computer Vision Approach
    NS S. Ganguly, J. S, M. Mohak, M. Sanjay, B. Somashekhar
    2024 International Conference on Advances in Modern Age Technologies for 2024

  • Towards Removal of Shadows Caused due to Object Interferences in Smartphone Captured Document Images using Multiple Mask Generation Technique
    KS Koushik, NS Rani
    Procedia Computer Science 235, 2466-2475 2024

  • Enhancement of Palm Leaf Manuscripts Images Using Deep SegNet Model
    TM Akhilesh, S Sankar J, NS Rani, BN B J
    IEEE ICCUBEA 2024

  • Deep Learning Model for Segmentation of Okra Plants with Unconstrained Backgrounds
    NS Rani, B K, KP M. A
    IEEE Xplore 2024

MOST CITED SCHOLAR PUBLICATIONS

  • Deformed character recognition using convolutional neural networks
    HRK N. Shobha Rani, N. Chandan, A. Sajan Jain
    International Journal of Engineering & Technology 7 (3), 1599-1604 2018
    Citations: 53

  • Deep Learning Network Architecture based Kannada Handwritten Character Recognition
    NS Rani, AC Subramani, A Kumar, BR Pushpa
    2020 Second International Conference on Inventive Research in Computing 2020
    Citations: 46

  • A font style classification system for English OCR
    V Bharath, NS Rani
    2017 International Conference on Intelligent Computing and Control (I2C2), 1-5 2017
    Citations: 36

  • Fruit Classification System Using Multiclass Support Vector Machine Classifier
    M Zeeshan, A Prabhu, C Arun, NS Rani
    2020 International Conference on Electronics and Sustainable Communication 2020
    Citations: 31

  • Ayur-PlantNet: An unbiased light weight deep convolutional neural network for Indian Ayurvedic plant species classification
    BR Pushpa, NS Rani
    Journal of Applied Research on Medicinal and Aromatic Plants 34, 100459 2023
    Citations: 24

  • Robust recognition technique for handwritten Kannada character recognition using capsule networks.
    NS Rani, P BR
    International Journal of Electrical & Computer Engineering (2088-8708) 12 (1) 2022
    Citations: 18

  • A Zone Based Approach for Classification and Recognition of Telugu Handwritten Characters
    NS Rani, SK Verma, A Joseph
    International Journal of Electrical and Computer Engineering 6 (4), 1647 2016
    Citations: 18

  • Region based image classification using watershed transform techniques
    MS Pawar, L Perianayagam, NS Rani
    2017 International Conference on Intelligent Computing and Control (I2C2), 1-5 2017
    Citations: 16

  • A unified preprocessing technique for enhancement of degraded document images
    N Shobha Rani, A Sajan Jain, HR Kiran
    Proceedings of the International Conference on ISMAC in Computational Vision 2019
    Citations: 15

  • Visual Recognition and Classification of Videos using Deep Convolutional Neural Networks
    PC N Shobha Rani, Pramod N Rao
    International journal of engineering and technology 7 (2), 85-88 2018
    Citations: 15

  • Detection and removal of graphical components in pre-printed documents
    NS Rani, P Vineeth, D Ajith
    International Journal of Applied Engineering Research 11 (7), 4849-4856 2016
    Citations: 15

  • Automatic Vehicle Tracking System Based on Fixed Thresholding and Histogram Based Edge Processing.
    NS Rani, N OP, N Ponnath
    International Journal of Electrical & Computer Engineering (2088-8708) 5 (4) 2015
    Citations: 15

  • DIMPSAR: Dataset for Indian Medicinal Plant Species Analysis and Recognition
    NSR Pushpa B R
    Data in Brief 2023
    Citations: 14

  • Kannada Confusing Character Recognition and Classification Using Random Forest and SVM
    BN BJ, MR Athira, ML Prajwal
    2021 3rd International Conference on Signal Processing and Communication 2021
    Citations: 13

  • A Two Phase Denoising Approach to Remove Uneven illumination From Ancient Note Book Images
    BJB Nair, N Shobharani, NR Sreekumar, G Ashok
    2021 7th International Conference on Advanced Computing and Communication 2021
    Citations: 13

  • An efficient technique for detection and removal of lines with text stroke crossings in document images
    N Shobha Rani, T Vasudev
    Proceedings of International Conference on Cognition and Recognition: ICCR 2018
    Citations: 13

  • A quad tree based binarization approach to improve quality of degraded document images
    NS Rani, A Gopi
    International Journal of Computer Science Engineering (IJCSE) 3 (1), 70-73 2014
    Citations: 13

  • Extraction of Gliomas from 3D MRI Images using Convolution Kernel Processing and Adaptive Thresholding
    NS Rani, U Karthik, S Ranjith
    Procedia Computer Science 167, 273-284 2020
    Citations: 12

  • A Deep Convolutional Architectural Framework for Radiograph Image Processing at Bit Plane Level for Gender & Age Assessment.
    NS Rani, M Chandrajith, BR Pushpa, BJ Nair
    Computers, Materials & Continua 62 (2) 2020
    Citations: 11

  • Fruit Detection from Images and Displaying Its Nutrition Value Using Deep Alex Network
    NSR B. Divya Shree, R. Brunda
    Advances in Intelligent Systems and Computing 898, 599-608 2019
    Citations: 11