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B. H. Shekar
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2020 – today
- 2024
- [j9]B. H. Shekar, Sharada S. Bhat, P. Rathnakara Shetty:
Edge Detection in Gray-Scale Images Using Partial Sum of Second-Order Taylor Series Expansion. SN Comput. Sci. 5(1): 197 (2024) - 2023
- [j8]B. H. Shekar, Habtu Hailu:
An efficient stacked ensemble model for the detection of COVID-19 and skin cancer using fused feature of transfer learning and handcrafted methods. Comput. methods Biomech. Biomed. Eng. Imaging Vis. 11(3): 878-894 (2023) - [j7]B. H. Shekar, P. Rathnakara Shetty, Sharada S. Bhat, Leonid M. Mestetskiy:
Complex Gradient Function Based Image Descriptor. SN Comput. Sci. 4(1): 42 (2023) - 2022
- [c60]S. Raveeshwara, B. H. Shekar:
Scene Text Detection with Gradient Auto Encoders. CVIP (2) 2022: 350-361 - [c59]B. H. Shekar, Shazia Mannan, Habtu Hailu:
Pneumonia Detection Using Deep Learning Based Feature Extraction and Machine Learning. CVIP (2) 2022: 597-609 - [c58]B. H. Shekar, Habtu Hailu:
Fusion of Features Extracted from Transfer Learning and Handcrafted Methods to Enhance Skin Cancer Classification Performance. CVMI 2022: 243-257 - [c57]B. H. Shekar, Wincy Abraham, Bharathi Pilar:
Local DCT-Based Deep Learning Architecture for Image Forgery Detection. CVMI 2022: 465-473 - 2021
- [j6]Guesh Dagnew, B. H. Shekar:
Ensemble learning-based classification of microarray cancer data on tree-based features. Cogn. Comput. Syst. 3(1): 48-60 (2021) - [c56]B. H. Shekar, S. Raveeshwara:
Morphological Gradient Analysis and Contour Feature Learning for Locating Text in Natural Scene Images. CVIP (2) 2021: 254-261 - [c55]B. H. Shekar, Sharada S. Bhat:
Edge Detection in Gray Scale Images Using Partial Sum of Second Order Taylor Series Expansion. PReMI 2021: 22-31 - 2020
- [c54]B. H. Shekar, Habtu Hailu:
An Ensemble Method for Efficient Classification of Skin Lesion from Dermoscopy Image. CVIP (1) 2020: 161-178 - [c53]B. H. Shekar, P. Rathnakara Shetty, Sharada S. Bhat:
Complex Gradient Function Based Descriptor for Iris Biometrics and Action Recognition. CVIP (2) 2020: 489-501
2010 – 2019
- 2019
- [c52]B. H. Shekar, Sharada S. Bhat, Leonid M. Mestetskiy:
Iris Recognition by Learning Fragile Bits on Multi-patches using Monogenic Riesz Signals. PReMI (2) 2019: 462-471 - 2018
- [c51]B. H. Shekar, Guesh Dagnew:
L1-Regulated Feature Selection and Classification of Microarray Cancer Data Using Deep Learning. CVIP (2) 2018: 227-242 - [c50]B. H. Shekar, Guesh Dagnew:
A Multi-Classifier Approach on L1-Regulated Features of Microarray Cancer Data. ICACCI 2018: 1515-1522 - [c49]Parameshwar R. Hegde, Manjunath M. Shenoy, B. H. Shekar:
Comparison of Machine Learning Algorithms for Skin Disease Classification Using Color and Texture Features. ICACCI 2018: 1825-1828 - [c48]Archil Maysuradze, Bharathi Pilar, B. H. Shekar:
A Novel Metric Combination Approach for Verification Problems. DAMDID/RCDL 2018: 63-67 - [c47]Bharathi Pilar, B. H. Shekar, D. S. Sunil Kumar:
Multi-scale Local Binary Patterns- A Novel Feature Extraction Technique for Offline Signature Verification. RTIP2R (3) 2018: 140-148 - 2017
- [c46]K. P. Uma, B. H. Shekar, K. Raghurama Holla:
Video clip retrieval using serial walk local descriptor. ICACCI 2017: 1506-1510 - [c45]K. P. Uma, B. H. Shekar, L. Smitha M.:
Video clip retrieval: An integrated approach based on KDM and LBPV. ICACCI 2017: 1613-1618 - [c44]Leonid M. Mestetskiy, B. H. Shekar:
Bezier Curve Based Continuous Medial Representation for Shape Analysis: A Theoretical Framework. MIKE 2017: 54-63 - [c43]Archil Maysuradze, B. H. Shekar, Mikhail Suvorov:
Supervised Asymmetric Metric Extraction: An Approach to Combine Distances. MIKE 2017: 123-132 - [c42]B. H. Shekar, D. S. Rajesh:
Face Detection Based on Frequency Domain Features. PReMI 2017: 203-211 - 2016
- [c41]B. H. Shekar, D. S. Rajesh:
Reassigned Time Frequency Distribution Based Face Recognition. CVIP (2) 2016: 475-485 - [c40]B. H. Shekar, D. S. Rajesh:
Stockwell transform based face recognition: A robust and an accurate approach. ICACCI 2016: 168-174 - [c39]D. S. Rajesh, B. H. Shekar:
Undecimated dual tree complex wavelet transform based face recognition. ICACCI 2016: 720-726 - [c38]K. P. Uma, B. H. Shekar, K. Raghurama Holla:
Video clip retrieval using local phase quantization. ICACCI 2016: 1522-1527 - [c37]Bharathi Pilar, B. H. Shekar:
An integrated approach of radon transform and blockwise binary pattern for shape representation and classification. ICACCI 2016: 1976-1982 - [c36]B. H. Shekar, K. P. Uma, K. Raghurama Holla:
Shot boundary detection using correlation based spectral residual saliency map. ICACCI 2016: 2242-2247 - [c35]B. H. Shekar, Sharada S. Bhat:
Iris recognition using partial sum of second order Taylor series expansion. ICVGIP 2016: 81:1-81:8 - 2015
- [c34]B. H. Shekar, Sharada S. Bhat:
Steerable Riesz wavelet based approach for iris recognition. ACPR 2015: 431-436 - [c33]B. H. Shekar, D. S. Rajesh:
Approximate radial gradient transform based face recognition. ICACCI 2015: 1071-1077 - [c32]B. H. Shekar, D. S. Rajesh, M. Sharmila Kumari:
Logarithmic dyadic wavelet transform based face recognition. ICACCI 2015: 1428-1435 - [c31]B. H. Shekar, L. Smitha M.:
Text localization in video/scene images using Kirsch Directional Masks. ICACCI 2015: 1436-1440 - [c30]B. H. Shekar, L. Smitha M.:
Phase congruency and morphology based approach for text localization in videos. ICACCI 2015: 2221-2225 - [c29]B. H. Shekar, R. K. Bharathi, Josef Kittler, Yury Vizilter, Leonid M. Mestetskiy:
Grid structured morphological pattern spectrum for off-line signature verification. ICB 2015: 430-435 - [c28]Pedro Tome, Ramachandra Raghavendra, Christoph Busch, Santosh Tirunagari, Norman Poh, B. H. Shekar, Diego Gragnaniello, Carlo Sansone, Luisa Verdoliva, Sébastien Marcel:
The 1st Competition on Counter Measures to Finger Vein Spoofing Attacks. ICB 2015: 513-518 - [c27]B. H. Shekar, Bharathi Pilar, Josef Kittler:
An unification of Inner Distance Shape Context and Local Binary Pattern for Shape Representation and Classification. PerMIn 2015: 46-55 - [c26]L. Smitha M., B. H. Shekar:
Illumination Invariant Text Recognition System Based On Contrast Limit Adaptive Histogram Equalization in Videos/Images. WCI 2015: 174-179 - [c25]B. H. Shekar, Bharathi Pilar:
Shape Representation and Classification Based on Discrete Cosine Transformation and IDSC. WCI 2015: 341-347 - [c24]B. H. Shekar, K. P. Uma:
Gabor Moments Based Shot Boundary Detection. WCI 2015: 359-364 - [i7]B. H. Shekar, L. Smitha M.:
Skeleton Matching based approach for Text Localization in Scene Images. CoRR abs/1502.03913 (2015) - [i6]B. H. Shekar, L. Smitha M.:
Gradient Difference based approach for Text Localization in Compressed domain. CoRR abs/1502.03918 (2015) - [i5]B. H. Shekar, L. Smitha M.:
Video Text Localization with an emphasis on Edge Features. CoRR abs/1502.06219 (2015) - [i4]B. H. Shekar, L. Smitha M., P. Shivakumara:
Discrete Wavelet Transform and Gradient Difference based approach for text localization in videos. CoRR abs/1502.06703 (2015) - [i3]B. H. Shekar, L. Smitha M.:
Text Localization in Video Using Multiscale Weber's Local Descriptor. CoRR abs/1504.03810 (2015) - [i2]B. H. Shekar, Bharathi Pilar:
Shape Representation and Classification through Pattern Spectrum and Local Binary Pattern - A Decision Level Fusion Approach. CoRR abs/1504.07082 (2015) - 2014
- [c23]B. H. Shekar, Bharathi Pilar:
An ensemble of morphology based Pattern Spectrum and Height functions for shape representation and classification. ICACCI 2014: 2264-2272 - [c22]R. K. Bharathi, B. H. Shekar:
Discriminative DCT-MLP based approach for off-line signature verification. ICACCI 2014: 2309-2315 - [c21]B. H. Shekar, L. Smitha M.:
Morphological gradient based approach for text localization in video/scene images. ICACCI 2014: 2426-2431 - [c20]B. H. Shekar, Bharathi Pilar:
Shape representation and classification through Height functions and Local Binary Pattern - a decision level fusion approach. ICACCI 2014: 2481-2488 - 2013
- [c19]R. K. Bharathi, B. H. Shekar:
Off-line signature verification based on chain code histogram and Support Vector Machine. ICACCI 2013: 2063-2068 - [c18]B. H. Shekar, R. K. Bharathi:
Off-Line Signature Verification Based on Principal Component Analysis and Multi-Layer Perceptrons. ISI 2013: 101-109 - [c17]B. H. Shekar, K. Raghurama Holla, M. Sharmila Kumari:
Video shot boundary detection: An efficient and an accurate approach based on Gabor moments. NCVPRIPG 2013: 1-4 - [c16]B. H. Shekar, Harivinod N:
Multispectral palmprint matching based on joint sparse representation. NCVPRIPG 2013: 1-4 - [c15]M. Sharmila Kumari, B. H. Shekar:
On the Use of Monogenic Scale Space for Efficient Face Representation and Recognition. PReMI 2013: 176-183 - [c14]B. H. Shekar, K. Raghurama Holla, M. Sharmila Kumari:
KID: Kirsch Directional Features Based Image Descriptor. PReMI 2013: 327-334 - [c13]B. H. Shekar, R. K. Bharathi, Bharathi Pilar:
Local Morphological Pattern Spectrum Based Approach for Off-line Signature Verification. PReMI 2013: 335-342 - 2012
- [j5]Leonid M. Mestetskiy, Natalia Dyshkant, Dmitry Gordeev, M. Sharmila Kumari, B. H. Shekar:
Surface measures for accuracy evaluation in 3d face reconstruction. Pattern Recognit. 45(10): 3583-3589 (2012) - [c12]M. Sharmila Kumari, B. H. Shekar, N. Harivinod, K. Raghurama Holla:
Monogenic scale space based region covariance matrix descriptor: an efficient and accurate face recognition algorithm. ICACCI 2012: 717-720 - [i1]B. H. Shekar, N. Harivinod, M. Sharmila Kumari, K. Raghurama Holla:
3D Face Recognition using Significant Point based SULD Descriptor. CoRR abs/1210.7102 (2012) - 2011
- [j4]B. H. Shekar, M. Sharmila Kumari, Leonid M. Mestetskiy, Natalia Dyshkant:
Face recognition using kernel entropy component analysis. Neurocomputing 74(6): 1053-1057 (2011) - [c11]B. H. Shekar, N. Harivinod, M. Sharmila Kumari:
3D Face Recognition Using Orientation Maps. ACC (3) 2011: 396-405 - [c10]M. Sharmila Kumari, B. H. Shekar:
On the use of phase of the discrete cosine transform for text detection in document images and video frames under variations in illumination. IICAI 2011: 58-70 - [c9]G. Thippeswamy, B. H. Shekar:
Face recognition based on discriminative fractional Discrete Cosine Transform. IICAI 2011: 121-130 - 2010
- [c8]M. Sharmila Kumari, B. H. Shekar:
Color-SIFT model: a robust and an accurate shot boundary detection algorithm. ICDIP 2010: 75463S
2000 – 2009
- 2009
- [c7]B. H. Shekar, G. Thippeswamy, P. Shivakumara:
Discriminative Scale Invariant Feature Transform (SIFT-FLD) model for efficient representation and accurate recognition of faces. IICAI 2009: 1914-1927 - [c6]B. H. Shekar, M. Sharmila Kumari, P. Shivakumara:
SIFT-PCA: An efficient and accurate face representation and recognition model. IICAI 2009: 1969-1980 - 2007
- [c5]B. H. Shekar, G. Thippeswamy, P. Nagabhushan, D. S. Guru:
Polar-eigenspace: A Linear Transformation Invariant Model for Appearance Based Object / Face Recognition. IICAI 2007: 575-584 - 2006
- [j3]P. Nagabhushan, D. S. Guru, B. H. Shekar:
(2D)2 FLD: An efficient approach for appearance based object recognition. Neurocomputing 69(7-9): 934-940 (2006) - [j2]P. Nagabhushan, D. S. Guru, B. H. Shekar:
Visual learning and recognition of 3D objects using two-dimensional principal component analysis: A robust and an efficient approach. Pattern Recognit. 39(4): 721-725 (2006) - [c4]B. H. Shekar, D. S. Guru, P. Nagabhushan:
Object Recognition Through the Principal Component Analysis of Spatial Relationship Amongst Lines. ACCV (1) 2006: 170-179 - [c3]B. H. Shekar, D. S. Guru, P. Nagabhushan:
Two-Dimensional Optimal Transform for Appearance Based Object Recognition. ICVGIP 2006: 650-661 - 2005
- [c2]B. H. Shekar, D. S. Guru, P. Nagabhushan:
Visual Learning and Recognition of 3-D Objects using Two Dimensional Fisher's Linear Discriminant Analysis: A Robust and an Efficient Approach. IICAI 2005: 3207-3218 - [c1]P. Nagabhushan, D. S. Guru, B. H. Shekar:
Eigen Transformation Based Edge Detector for Gray Images. PReMI 2005: 434-440 - 2004
- [j1]D. S. Guru, B. H. Shekar, P. Nagabhushan:
A simple and robust line detection algorithm based on small eigenvalue analysis. Pattern Recognit. Lett. 25(1): 1-13 (2004)
Coauthor Index
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last updated on 2024-10-07 22:09 CEST by the dblp team
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