Dr. S. B. Kulkarni
Dr. S. B. Kulkarni
Associate Professor, Department of Computer Science and Engineering, SDMCET, Dharwad
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Cited by
Cited by
A hybrid approach for plant leaf disease detection and classification using digital image processing methods
A Rao, SB Kulkarni
The International Journal of Electrical Engineering & Education …, 2020
Computer Based Diagnosis of Glaucoma using Digital Fundus Images
A Nandibewoor, S Byahatti, SB Kulkarni, R Hegadi
Proceedings of the World Congress on Engineering 3, 2013
Approaches and Challenges in Classification for Hyper Spectral Data : A Review
SB Kulkarni, M Kishore
International Conference on Electrical, Electronics and Optimization …, 2016
Approches and Challenges in Classification for Hyperspectral Data: A Review
M Kishore, SB Kulkarni
International Conference on Electrical, Electronics, and Optimization …, 2016
GLCM-based multiclass iris recognition using FKNN and KNN
SB Kulkarni, RB Kulkarni, UP Kulkarni, RS Hegadi
International Journal of Image and Graphics 14 (03), 1450010, 2014
A survey of automatic text summarization system for different regional language in India
VV Giri, MM Math, UP Kulkarni, SB Kulkarni, SM Joshi, JV Vadavi
Bonfring International Journal of Software Engineering and Soft Computing 6 …, 2016
Classification of brain MR images based on bleed and calcification using ROI cropped U‑Net segmentation and ensemble RNN classifier
N Kakhandaki, SB Kulkarni
International Journal of Information Technology 15, 3405–3420, 2023
Hyperspectral imaging technique for plant leaf identification
M Kishore, SB Kulkarni
2015 International Conference on Emerging Research in Electronics, Computer …, 2015
ROI Based Iris Segmentation and Block Reduction Based Pixel Match for Improved Biometric Applications
SB Kulkarni, RS Hegadi, UP Kulkarni
Advances in Computing, Communication, and Control, 548-557, 2013
Improvement to libor Masek algorithm of template matching method for iris recognition
SB Kulkarni, RS Hegadi, UP Kulkarni
Proceedings of the International Conference & Workshop on Emerging Trends in …, 2011
Identification of normal and abnormal brain hemorrhage on magnetic resonance images
N Kakhandaki, SB Kulkarni
Cognitive Informatics, Computer Modelling, and Cognitive Science, 71-91, 2020
Classification of Brain Hemorrhages in MRI Using Naïve Bayes-Probabilistic Kernel Approach
N Kakhandaki, SB Kulkarni, K Ramesh, UP Kulkarni
Journal of Cases on Information Technology (JCIT) 21 (3), 51-65, 2019
A novel approach for iris encryption
SB Kulkarni, RS Hegadi, UP Kulkarni
technology 3 (2012), 7, 2012
Analysis of Iris Recognition using Normalized and Un-normalized Iris images
SB Kulkarni, UP Kulkarni, RS Hegadi
International Journal on Information Processing, 26-33, 2013
Iris Recognition using Fusion of Gray Level Co occurrence Matrix and Gray Level Run Length Matrix
SB Kulkarni, S Shirodkar, RS Hegadi, UP Kulkarni
Fruits and vegetables classification using progressive resizing and transfer learning
M Kishore, SB Kulkarni, KS Babu
Journal of University of Shanghai for Science and Technology 23 (2), 1007-6735, 2021
An improved technique of plant leaf classificaion using hybrid feature modeling
A Rao, SB Kulkarni
2017 International Conference on Innovative Mechanisms for Industry …, 2017
A Case Study on an Unrealized Truth of an Outcome Based Education and Corrective Strategies
UP Kulkarni, SB Kulkarni, KC Shindhe, AN Joshi
2016 IEEE 4th International Conference on MOOCs, Innovation and Technology …, 2016
Markov random field classification technique for plant leaf disease detection
A Rao, SB Kulkarni
International Journal of Computer Aided Engineering and Technology 12 (3 …, 2020
A novel framework for detection and classification of brain hemorrhage
N Kakhandaki, SB Kulkarni
Int. J. Recent Technol. Eng.(IJRTE) 7 (4), 2018
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