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Bharathi Pilar
Bharathi Pilar
Asst Professor of Computer science, mangalore university
Verified email at mangaloreuniversity.ac.in
Title
Cited by
Cited by
Year
Shape representation and classification through pattern spectrum and local binary pattern--a decision level fusion approach
BH Shekar, B Pilar
2014 Fifth International Conference on Signal and Image Processing, 218-224, 2014
302014
Local morphological pattern spectrum based approach for off-line signature verification
BH Shekar, RK Bharathi, B Pilar
Pattern Recognition and Machine Intelligence: 5th International Conference …, 2013
222013
An unification of inner distance shape context and local binary pattern for shape representation and classification
BH Shekar, B Pilar, J Kittler
Proceedings of the 2nd international conference on perception and machine …, 2015
152015
Discrete cosine transformation and height functions based shape representation and classification
BH Shekar, B Pilar
Procedia Computer Science 58, 714-722, 2015
132015
An ensemble of morphology based pattern spectrum and height functions for shape representation and classification
BH Shekar, B Pilar
2014 International Conference on Advances in Computing, Communications and …, 2014
82014
Blockwise binary pattern: a robust and an efficient approach for offline signature verification
BH Shekar, B Pilar, KDS Sunil
The International Archives of the Photogrammetry, Remote Sensing and Spatial …, 2017
72017
Subword Dictionary Learning and Segmentation Techniques for Automatic Speech Recognition in Tamil and Kannada
B Pilar
arXiv preprint arXiv:2207.13331, 2022
62022
Offline signature verification based on partial sum of second-order taylor series expansion
BH Shekar, B Pilar, DS Sunil Kumar
Data Analytics and Learning: Proceedings of DAL 2018, 359-367, 2018
52018
A decision level fusion of morphology based Pattern Spectrum and IDSC for shape representation and classification
BH Shekar, B Pilar
2014 International Conference on Contemporary Computing and Informatics …, 2014
42014
Knowledge-driven subword grammar modeling for automatic speech recognition in tamil and kannada
B Pilar
arXiv preprint arXiv:2207.13333, 2022
32022
Multi-scale local binary patterns-a novel feature extraction technique for offline signature verification
B Pilar, BH Shekar, DS Sunil Kumar
Recent Trends in Image Processing and Pattern Recognition: Second …, 2019
22019
An integrated approach of radon transform and blockwise binary pattern for shape representation and classification
B Pilar, BH Shekar
2016 International Conference on Advances in Computing, Communications and …, 2016
22016
Local DCT-Based Deep Learning Architecture for Image Forgery Detection
BH Shekar, W Abraham, B Pilar
Computer Vision and Machine Intelligence: Proceedings of CVMI 2022, 465-473, 2023
12023
Offline Signature verification using CNN and SVM classifier
BH Shekar, W Abraham, B Pilar
2022 IEEE 7th International Conference on Recent Advances and Innovations in …, 2022
12022
Shape representation and classification through height functions and local binary pattern-a decision level fusion approach
BH Shekar, B Pilar
2014 International Conference on Advances in Computing, Communications and …, 2014
12014
A Simple Difference Based Inter Frame Video Forgery Detection and Localization
BH Shekar, W Abraham, B Pilar
International Conference on Soft Computing and its Engineering Applications …, 2023
2023
Offline Signature Verification Based on Spatial Pyramid Image Representation with Taylor Series
B Pilar
International Symposium on Signal Processing and Intelligent Recognition …, 2020
2020
Circular Map Pattern Spectrum—An Accurate Descriptor for Shape Representation and Classification
B Pilar, BH Shekar
Data Analytics and Learning: Proceedings of DAL 2018, 207-219, 2019
2019
A Novel Metric Combination Approach for Verification Problems.
A Maysuradze, B Pilar, BH Shekar
DAMDID/RCDL, 63-67, 2018
2018
Eigenvalue Analysis with Hough Transform for Shape Representation and Classification
B Pilar, BH Shekar
International Conference on Cognitive Computing and Information Processing …, 2017
2017
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