V
V. N. Manjunath Aradhya
Researcher at Sri Jayachamarajendra College of Engineering
Publications - 95
Citations - 629
V. N. Manjunath Aradhya is an academic researcher from Sri Jayachamarajendra College of Engineering. The author has contributed to research in topics: Feature extraction & Probabilistic neural network. The author has an hindex of 13, co-authored 91 publications receiving 491 citations. Previous affiliations of V. N. Manjunath Aradhya include Dayananda Sagar College of Engineering & University of Mysore.
Papers
More filters
Journal ArticleDOI
Arbitrary oriented multilingual text detection and segmentation using level set and Gaussian mixture model
TL;DR: A pioneer conceptual combination of level set method and Gaussian Mixture Model (GMM) is presented in the described multilingual, arbitrary-oriented character segmentation, which attains better segmentation outcomes when compared to the familiar functioning methods.
Book ChapterDOI
An Exploration of Wavelet Transform and Level Set Method for Text Detection in Images and Video Frames
TL;DR: Experimental results prove that the proposed level set based method is competitive when compared with other existing methods in reducing false positive rate and mis detection rate and the proposed system is encouraging and useful to carry out further research on text extraction in images and video.
Journal ArticleDOI
Segmentation of Brain Tumor Tissues in HGG and LGG MR Images Using 3D U-net Convolutional Neural Network
TL;DR: This article presents a 3D U-net Convolutional Neural Network for segmentation of a brain tumor and achieves considerably good results compared to the other segmentation models.
Proceedings ArticleDOI
The study of different similarity measure techniques in recognition of handwritten characters
TL;DR: The affect of four different similarity measure techniques namely Euclidean distance, Modified squared euclidean Distance, Correlation distance and Angle distance for an unconstrained handwritten character recognition is compared.
Proceedings ArticleDOI
Learning Through One Shot: A Phase by Phase Approach for COVID-19 Chest X-ray Classification
V. N. Manjunath Aradhya,Mufti Mahmud,Muhammad E. H. Chowdhury,Devanur S. Guru,M. Shamim Kaiser,Saiful Azad +5 more
TL;DR: In this paper, a phase by phase approach using the concept of one shot learning is introduced for effective classification of chest X-ray images, which utilizes the application of entropy for selecting best describing images for effective learning purposes.