Nitin Kumar

Orcid: 0000-0003-4242-6125

Affiliations:
  • Punjab Engineering College, Chandigarh, India
  • National Institute of Technology Uttarakhand, Srinagar, India (former)
  • Jawaharlal Nehru University, New Delhi, India (PhD 2015)


According to our database1, Nitin Kumar authored at least 46 papers between 2011 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Online presence:

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Bibliography

2024
BRIEFBCS: binary robust independent elementary features based fuzzy vault scheme in BCS.
Clust. Comput., June, 2024

Region-based feature combination for robust salient object detection.
Multim. Tools Appl., April, 2024

SIFTBCS: scale invariant feature transform based fuzzy vault scheme in biometric cryptosystem.
Multim. Tools Appl., March, 2024

CBRW: A Novel Approach for Cancelable Biometric Template Generation based on.
CoRR, 2024

On Generating Cancelable Biometric Template using Reverse of Boolean XOR.
CoRR, 2024

2023
Single sample face recognition using deep learning: a survey.
Artif. Intell. Rev., October, 2023

Biometric cryptosystems: a comprehensive survey.
Multim. Tools Appl., May, 2023

SURFBCS: speeded up robust features based fuzzy vault scheme in biometric cryptosystem.
J. Supercomput., 2023

2022
Lower-dimensional intrinsic structural representation of leaf images and plant recognition.
Signal Image Video Process., 2022

CoBRa: convex hull based random walks for salient object detection.
Multim. Tools Appl., 2022

CBRC: a novel approach for cancelable biometric template generation using random permutation and Chinese Remainder Theorem.
Multim. Tools Appl., 2022

Leaf Bagging: A novel meta heuristic optimization based framework for leaf identification.
Multim. Tools Appl., 2022

CBRW: a novel approach for cancelable biometric template generation based on 1-D random walk.
Appl. Intell., 2022

2021
SOFT: salient object detection based on feature combination using teaching-learning-based optimization.
Signal Image Video Process., 2021

CHELM: Convex Hull based Extreme Learning Machine for salient object detection.
Multim. Tools Appl., 2021

Tumor bagging: a novel framework for brain tumor segmentation using metaheuristic optimization algorithms.
Multim. Tools Appl., 2021

On solving leaf classification using linear regression.
Multim. Tools Appl., 2021

Incremental methods in face recognition: a survey.
Artif. Intell. Rev., 2021

2020
Saliency bagging: a novel framework for robust salient object detection.
Vis. Comput., 2020

A hybrid approach using color spatial variance and novel object position prior for salient object detection.
Multim. Tools Appl., 2020

RP-LPP : a random permutation based locality preserving projection for cancelable biometric recognition.
Multim. Tools Appl., 2020

Artificial electric field algorithm for engineering optimization problems.
Expert Syst. Appl., 2020

Saliency Boosting: a novel framework to refine salient object detection.
Artif. Intell. Rev., 2020

Cancelable Biometrics: a comprehensive survey.
Artif. Intell. Rev., 2020

On Generating Cancelable Biometric Templates Using Visual Secret Sharing.
Proceedings of the Intelligent Computing, 2020

2019
A hybrid of active contour model and convex hull for automated brain tumor segmentation in multimodal MRI.
Multim. Tools Appl., 2019

Multiclass Twin Support Vector Machine for plant species identification.
Multim. Tools Appl., 2019

Single Sample Face Recognition in the Last Decade: A Survey.
Int. J. Pattern Recognit. Artif. Intell., 2019

Artificial Electric Field Algorithm for Solving Real Parameter CEC 2017 Benchmark Problems.
Proceedings of the Soft Computing for Problem Solving 2019, 2019

Application of Artificial Electric Field Algorithm for Economic Load Dispatch Problem.
Proceedings of the 11th International Conference on Soft Computing and Pattern Recognition (SoCPaR 2019), 2019

2018
Thresholding in salient object detection: a survey.
Multim. Tools Appl., 2018

Random permutation principal component analysis for cancelable biometric recognition.
Appl. Intell., 2018

Design of ECC based authenticated group key agreement protocol using self-certified public keys.
Proceedings of the 2018 4th International Conference on Recent Advances in Information Technology (RAIT), 2018

2017
A study of training free salient object detection methods in presence of noise.
Proceedings of the 2017 IEEE International Conference on Signal and Image Processing Applications, 2017

2016
Two-dimensional exponential discriminant analysis for small sample size in face recognition.
Int. J. Artif. Intell. Soft Comput., 2016

Incremental and Decremental Nonparametric Discriminant Analysis for Face Recognition.
Comput. Informatics, 2016

Salient Object Detection in Noisy Images.
Proceedings of the Advances in Artificial Intelligence, 2016

2015
Block LDA via QR-decomposition for face recognition with single image per person.
Int. J. Knowl. Based Intell. Eng. Syst., 2015

Analysis and evaluation of regression-based methods for facial pose classification.
Int. J. Appl. Pattern Recognit., 2015

2014
Incremental and Decremental Exponential Discriminant Analysis for Face Recognition.
Int. J. Comput. Vis. Image Process., 2014

A Comparative Study of Linear Discriminant and Linear Regression Based Methods for Expression Invariant Face Recognition.
Proceedings of the Advances in Signal Processing and Intelligent Recognition Systems, 2014

2012
Local Linear Regression on Hybrid Eigenfaces for Pose Invariant Face Recognition.
Int. J. Comput. Vis. Image Process., 2012

Statistical Framework for Facial Pose Classification.
Proceedings of the Advances in Artificial Intelligence, 2012

Performance evaluation of subspace methods to tackle small sample size problem in face recognition.
Proceedings of the 2012 International Conference on Advances in Computing, 2012

A Hybrid of Principal Component Analysis and Partial Least Squares for Face Recognition across Pose.
Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2012

2011
Performance evaluation of linear subspace methods for face recognition under illumination variation.
Proceedings of the Fourth International C* Conference on Computer Science & Software Engineering, 2011


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