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Dr. Parshuram M. Kamble
Dr. Parshuram M. Kamble
Assistant Professor Department of Computer Science, Central University of Karnataka
Bestätigte E-Mail-Adresse bei cuk.ac.in - Startseite
Titel
Zitiert von
Zitiert von
Jahr
Handwritten Marathi character recognition using R-HOG Feature
PM Kamble, RS Hegadi
Procedia Computer Science 45, 266-274, 2015
1162015
Recognition of Marathi handwritten numerals using multi-layer feed-forward neural network
RS Hegadi, PM Kamble
2014 World Congress on Computing and Communication Technologies, 21-24, 2014
212014
Geometrical features extraction and knn based classification of handwritten marathi characters
PM Kamble, RS Hegadi
2017 World Congress on Computing and Communication Technologies (WCCCT), 219-222, 2017
122017
Handwritten Marathi Basic Character Recognition using Statistical Method
K Parshuram, M, H Ravindra, S
Emerging Research in Computing, Information, Communication and Applications …, 2014
112014
Comparative study of handwritten Marathi characters recognition based on KNN and SVM classifier
PM Kamble, RS Hegadi
International Conference on Recent Trends in Image Processing and Pattern …, 2016
102016
Deep neural network for handwritten Marathi character recognition
PM Kamble, RS Hegadi
Int J Imag Robot 17 (1), 95-107, 2017
62017
Adaptive threshold-based database preparation method for handwritten image classification
PM Kamble, DD Ruikar, KV Houde, RS Hegadi
International Conference on Recent Trends in Image Processing and Pattern …, 2021
32021
Distance based edge linking (DEL) for character recognition
PM Kamble, RS Hegadi, RS Hegadi
Recent Trends in Image Processing and Pattern Recognition: Second …, 2019
32019
Handwritten Marathi Vowels Recognition using Correlation Coefficient
PM Kamble, BJ Kshirsagar
International Journal of Computer Science and Information Technologies 6 (1 …, 2015
22015
Marathi Character Recognition by using Probablistc Neural netwok Classification
TB Pisal, PM Kamble
Int. Jr. Comp. Sci. Info. Tech, 66-63, 2012
22012
DNN-based knee OA severity prediction system: pathologically robust feature engineering approach
D Ruikar, P Kamble, A Ruikar, K Houde, R Hegadi
SN Computer Science 4 (1), 58, 2022
12022
Multiwavelet and connected pixel based feature for handwritten Marathi characters
RS Hegadi, PM Kamble, AS Sherikar, BV Dhandra
AIP Conference Proceedings 1989 (1), 2018
12018
Trees Detection from Aerial Images Using the YOLOv5 Family
KV Houde, PM Kamble, RS Hegadi
International Conference on Recent Trends in Image Processing and Pattern …, 2023
2023
Wood Images Classification Based on Various Types of K-NN Classifier
MR Kagale, PM Kamble
International Conference on Communications and Cyber Physical Engineering …, 2023
2023
Real-Time Face Recognition for Organisational Attendance Systems
D Bavikadi, A Manjunatha, A Pol, A Kadam, P Kulkarni, A Singh, ...
International Conference on Recent Trends in Image Processing and Pattern …, 2021
2021
Automatic Knee Osteoarthritis Stages Identification
DI Navale, DD Ruikar, DD Sawat, PM Kamble, KV Houde, RS Hegadi
International Conference on Recent Trends in Image Processing and Pattern …, 2021
2021
Document Image Processing
RSH Parshuram M. Kamble
LAP LAMBERT 1, 92, 2019
2019
Review on: Various Improved Techniques for Skew Detection and Correction
BJ Kshirsagar, PM Kamble
International Journal of Research in Computer Science and Information …, 2014
2014
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