Nitin Kumar

50 papers C 1Journal 38Unranked 11
YearRankTypeTitle / Venue / Authors
2025 J jnl
Hyperbox-based virtual sample generation for single sample face and ear recognition.
Signal Image Video Process.
Vivek Tomar, Nitin Kumar, Maroti Deshmukh, Maheep Singh
2025 J jnl
Random permutation-based linear regression for cancelable biometrics.
Expert Syst. J. Knowl. Eng.
Onkar Singh, Ajay Jaiswal, Nitin Kumar, Naveen Kumar
2024 J jnl
BRIEFBCS: binary robust independent elementary features based fuzzy vault scheme in BCS.
Clust. Comput.
Prabhjot Kaur, Nitin Kumar
2024 — conf
Bolstering Biometric Cryptosystems with Tailored Scale Invariance Approach.
ICCCNT
Prabhjot Kaur, Nitin Kumar, Maheep Singh
2024 J jnl
CBRW: A Novel Approach for Cancelable Biometric Template Generation based on.
CoRR
Nitin Kumar, Manisha
2024 J jnl
On Generating Cancelable Biometric Template using Reverse of Boolean XOR.
CoRR
Manisha, Nitin Kumar
2024 J jnl
Region-based feature combination for robust salient object detection.
Multim. Tools Appl.
Vivek Kumar Singh, Nitin Kumar, Parma Nand
2024 J jnl
SIFTBCS: scale invariant feature transform based fuzzy vault scheme in biometric cryptosystem.
Multim. Tools Appl.
Prabhjot Kaur, Nitin Kumar
2024 J jnl
Single-sample face and ear recognition using virtual sample generation with 2D local patches.
J. Supercomput.
Vivek Tomar, Nitin Kumar
2023 J jnl
Biometric cryptosystems: a comprehensive survey.
Multim. Tools Appl.
Prabhjot Kaur, Nitin Kumar, Maheep Singh
2023 J jnl
SURFBCS: speeded up robust features based fuzzy vault scheme in biometric cryptosystem.
J. Supercomput.
Prabhjot Kaur, Nitin Kumar, Maheep Singh
2023 J jnl
Single sample face recognition using deep learning: a survey.
Artif. Intell. Rev.
Vivek Tomar, Nitin Kumar, Ayush Raj Srivastava
2022 J jnl
CBRC: a novel approach for cancelable biometric template generation using random permutation and Chinese Remainder Theorem.
Multim. Tools Appl.
Manisha, Nitin Kumar
2022 J jnl
CBRW: a novel approach for cancelable biometric template generation based on 1-D random walk.
Appl. Intell.
Nitin Kumar, Manisha
2022 J jnl
CoBRa: convex hull based random walks for salient object detection.
Multim. Tools Appl.
Vivek Kumar Singh, Nitin Kumar
2022 J jnl
Leaf Bagging: A novel meta heuristic optimization based framework for leaf identification.
Multim. Tools Appl.
Neha Goyal, Nitin Kumar, Kapil
2022 J jnl
Lower-dimensional intrinsic structural representation of leaf images and plant recognition.
Signal Image Video Process.
Neha Goyal, Nitin Kumar, Kapil Gupta
2021 J jnl
CHELM: Convex Hull based Extreme Learning Machine for salient object detection.
Multim. Tools Appl.
Vivek Kumar Singh, Nitin Kumar
2021 J jnl
Incremental methods in face recognition: a survey.
Artif. Intell. Rev.
Suresh Madhavan, Nitin Kumar
2021 J jnl
On solving leaf classification using linear regression.
Multim. Tools Appl.
Neha Goyal, Nitin Kumar, Kapil
2021 J jnl
SOFT: salient object detection based on feature combination using teaching-learning-based optimization.
Signal Image Video Process.
Vivek Kumar Singh, Nitin Kumar
2021 J jnl
Tumor bagging: a novel framework for brain tumor segmentation using metaheuristic optimization algorithms.
Multim. Tools Appl.
Shiv Naresh Shivhare, Nitin Kumar
2020 J jnl
A hybrid approach using color spatial variance and novel object position prior for salient object detection.
Multim. Tools Appl.
Vivek Kumar Singh, Nitin Kumar, Navjot Singh
2020 J jnl
Artificial electric field algorithm for engineering optimization problems.
Expert Syst. Appl.
Anita, Anupam Yadav, Nitin Kumar
2020 J jnl
Cancelable Biometrics: a comprehensive survey.
Artif. Intell. Rev.
Manisha, Nitin Kumar
2020 — conf
On Generating Cancelable Biometric Templates Using Visual Secret Sharing.
SAI (3)
Manisha, Nitin Kumar
2020 J jnl
RP-LPP : a random permutation based locality preserving projection for cancelable biometric recognition.
Multim. Tools Appl.
Nitin Kumar, Manisha Rawat
2020 J jnl
Saliency Boosting: a novel framework to refine salient object detection.
Artif. Intell. Rev.
Vivek Kumar Singh, Nitin Kumar, Suresh Madhavan
2020 J jnl
Saliency bagging: a novel framework for robust salient object detection.
Vis. Comput.
Vivek Kumar Singh, Nitin Kumar
2019 J jnl
A hybrid of active contour model and convex hull for automated brain tumor segmentation in multimodal MRI.
Multim. Tools Appl.
Shiv Naresh Shivhare, Nitin Kumar, Navjot Singh
2019 — conf
Application of Artificial Electric Field Algorithm for Economic Load Dispatch Problem.
SoCPaR
Anita, Anupam Yadav, Nitin Kumar
2019 — conf
Artificial Electric Field Algorithm for Solving Real Parameter CEC 2017 Benchmark Problems.
SocProS (1)
Anita, Anupam Yadav, Nitin Kumar
2019 J jnl
Multiclass Twin Support Vector Machine for plant species identification.
Multim. Tools Appl.
Neha Goyal, Kapil Gupta, Nitin Kumar
2019 J jnl
Single Sample Face Recognition in the Last Decade: A Survey.
Int. J. Pattern Recognit. Artif. Intell.
Nitin Kumar, Vaani Garg
2018 — conf
Design of ECC based authenticated group key agreement protocol using self-certified public keys.
RAIT
Shalini Gupta, Abhimanyu Kumar, Nitin Kumar
2018 J jnl
Random permutation principal component analysis for cancelable biometric recognition.
Appl. Intell.
Nitin Kumar, Surendra Singh, Abhimanyu Kumar
2018 J jnl
Thresholding in salient object detection: a survey.
Multim. Tools Appl.
Nitin Kumar
2017 — conf
A study of training free salient object detection methods in presence of noise.
ICSIPA
Nitin Kumar, Maheep Singh, Surendra Singh, Abhimanyu Kumar
2016 J jnl
Incremental and Decremental Nonparametric Discriminant Analysis for Face Recognition.
Comput. Informatics
Nitin Kumar, Ramesh K. Agrawal, Ajay Jaiswal
2016 — conf
Salient Object Detection in Noisy Images.
Canadian AI
Nitin Kumar, Maheep Singh, Mahesh Chandra Govil, Emmanuel S. Pilli, Ajay Jaiswal
2016 J jnl
Two-dimensional exponential discriminant analysis for small sample size in face recognition.
Int. J. Artif. Intell. Soft Comput.
Nitin Kumar, R. K. Agrawal
2015 J jnl
Analysis and evaluation of regression-based methods for facial pose classification.
Int. J. Appl. Pattern Recognit.
Ajay Jaiswal, Nitin Kumar, R. K. Agrawal
2015 J jnl
Block LDA via QR-decomposition for face recognition with single image per person.
Int. J. Knowl. Based Intell. Eng. Syst.
Nitin Kumar, R. K. Agrawal
2014 — conf
A Comparative Study of Linear Discriminant and Linear Regression Based Methods for Expression Invariant Face Recognition.
SIRS
Nitin Kumar, R. K. Agrawal, Ajay Jaiswal
2014 J jnl
Incremental and Decremental Exponential Discriminant Analysis for Face Recognition.
Int. J. Comput. Vis. Image Process.
Nitin Kumar, R. K. Agrawal, Ajay Jaiswal
2012 C conf
A Hybrid of Principal Component Analysis and Partial Least Squares for Face Recognition across Pose.
CIARP
Ajay Jaiswal, Nitin Kumar, Ramesh K. Agrawal
2012 J jnl
Local Linear Regression on Hybrid Eigenfaces for Pose Invariant Face Recognition.
Int. J. Comput. Vis. Image Process.
Ajay Jaiswal, Nitin Kumar, R. K. Agrawal
2012 — conf
Performance evaluation of subspace methods to tackle small sample size problem in face recognition.
ICACCI
Nitin Kumar, Ajay Jaiswal, Ramesh K. Agrawal
2012 — conf
Statistical Framework for Facial Pose Classification.
MICAI (1)
Ajay Jaiswal, Nitin Kumar, R. K. Agrawal
2011 — conf
Performance evaluation of linear subspace methods for face recognition under illumination variation.
C3S2E
Ajay Jaiswal, Ramesh K. Agrawal, Nitin Kumar