Munish Kumar

ORCID: 0000-0003-0115-1620
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About
Contact & Profiles
Research Areas
  • Handwritten Text Recognition Techniques
  • Vehicle License Plate Recognition
  • Image Processing and 3D Reconstruction
  • Image Retrieval and Classification Techniques
  • Advanced Image and Video Retrieval Techniques
  • Hand Gesture Recognition Systems
  • Biometric Identification and Security
  • Face recognition and analysis
  • Text and Document Classification Technologies
  • Face and Expression Recognition
  • Digital Media Forensic Detection
  • Network Security and Intrusion Detection
  • Anomaly Detection Techniques and Applications
  • Advanced Steganography and Watermarking Techniques
  • Advanced Neural Network Applications
  • Spam and Phishing Detection
  • Advanced Malware Detection Techniques
  • Human Pose and Action Recognition
  • Currency Recognition and Detection
  • User Authentication and Security Systems
  • Gait Recognition and Analysis
  • Video Surveillance and Tracking Methods
  • COVID-19 diagnosis using AI
  • Image and Object Detection Techniques
  • Identification and Quantification in Food

Maharaja Ranjit Singh Punjab Technical University
2016-2025

Chandigarh University
2024

Koneru Lakshmaiah Education Foundation
2018-2024

National Institute of Technology Hamirpur
2024

Institute of Infrastructure Technology Research and Management
2023

National Institute of Technology Karnataka
2023

Patna Medical College and Hospital
2021-2023

University of the Cumberlands
2022

M.J.P. Rohilkhand University
2022

R.V. College of Engineering
2021

10.1007/s12652-021-03488-z article EN Journal of Ambient Intelligence and Humanized Computing 2021-09-17

There are many solutions to prevent the spread of COVID-19 virus and one most effective is wearing a face mask. Almost everyone masks at all times in public places during coronavirus pandemic. This encourages us explore mask detection technology monitor people places. Most recent advanced approaches designed using deep learning. In this article, two state-of-the-art object models, namely, YOLOv3 faster R-CNN used achieve task. The authors have trained both models on dataset that consists...

10.1007/s11042-021-10711-8 article EN other-oa Multimedia Tools and Applications 2021-03-01

Plant species detection aims at the automatic identification of plants. Although a lot aspects like leaf, flowers, fruits, seeds could contribute to decision, but leaf features are most significant. As plant is always more accessible as compared other parts plants, it obvious study for identification. The present paper introduced novel classifier based on extraction morphological using Multilayer Perceptron with Adaboosting. proposed framework comprises pre-processing, feature extraction,...

10.1109/access.2019.2952176 article EN cc-by IEEE Access 2019-01-01
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