Research Outcome |
Total Numbers |
Publications |
157 |
Books |
8 |
Book Chapters |
18 |
Publications with Impact Factors in Journals indexed in SCOPUS, SCI, SSCI and ESCI |
100+ |
Cumulative Impact Factor |
380+ |
Publications in other Journals |
20 |
Patents applied/granted |
9 |
Full papers in conference proceedings |
40 |
Year 2023
M. M. Misgar, F. Mushtaq, S. S. Khurana, Munish Kumar, “Recognition of offline handwritten Urdu characters using RNN and LSTM models”, Multimedia Tools and Applications, Vol. 82(2), pp. 2053-2076, 2023 (SCI Indexed). Impact Factor: 2.577. https://link.springer.com/article/10.1007/s11042-022-13320-1.
A. Kaur, M. K. Jindal and Munish Kumar, “Cattle identification system: a comparative analysis of SIFT, SURF and ORB feature descriptors”, Multimedia Tools and Applications, In Press, 2023 (SCI Indexed). Impact Factor:2.577. https://link.springer.com/article/10.1007/s11042-023-14478-y.
G. Kaur, N. Singh and Munish Kumar, “Image Forgery Techniques: A Review”, Artificial Intelligence Review, Vol. 56, pp. 1577-1625, 2023 (SCI Indexed). Impact Factor: 9.588. https://link.springer.com/article/10.1007/s10462-022-10211-7.
M. Kumar, M. K. Jindal and Munish Kumar, “An efficient technique for breaking of coloured Hindi CAPTCHA”, Soft Computing, In Press, 2023 (SCI Indexed). Impact Factor: 3.732. https://link.springer.com/article/10.1007/s00500-023-07844-3.
V. Rani, S. T. Nabi, Munish Kumar, A. Mittal and K. Kumar, “Self-supervised Learning: A Succinct Review”, Archives of Computational Methods in Engineering, Vol. 56, pp. 1577-1625, 2023 (SCI Indexed). Impact Factor: 8.171. https://link.springer.com/article/10.1007/s11831-023-09884-2.
Year 20221. Dhiman, B., Kumar, Y., & Kumar, M.. (2022). Fruit Quality Evaluation Using Machine Learning Techniques: Review, Motivation and future perspectives. Multimedia Tools and Applications, 81(12), 16255–16277. (SCI Indexed) https://doi.org/10.1007/s11042-022-12652-2
2. Jan, T. G., Khurana, S. S., & Kumar, M. (2022). Semi-supervised labeling: A proposed methodology for labeling the Twitter datasets. Multimedia Tools and Applications, 81(6), 7669–7683. (SCI Indexed) https://doi.org/10.1007/s11042-022-12221-7
3. Kaur, A., Kumar, M., & Jindal, M. K. (2022). Cattle identification muzzle pattern using Computer Vision Technology: A critical review and prospective. Soft Computing, 26(10), 4771–4795. (SCI Indexed) https://doi.org/10.1007/s00500-022-06935-x
4. Kaur, A., Kumar, M., & Jindal, M. K. (2022). Shi-Tomasi Corner detector for cattle identification from muzzle print image pattern. Ecological Informatics, 68, 101549. (SCI Indexed) https://doi.org/10.1016/j.ecoinf.2021.101549
5. Kaur, G., Singh, N., & Kumar, M. (2022). Image forgery techniques: A Review. Artificial Intelligence Review. (SCI Indexed) https://doi.org/10.1007/s10462-022-10211-7
6. Kaur, R. P., Kumar, M., & Jindal, M. K. (2022). Performance evaluation of different features and classifiers for Gurumukhi Newspaper Text Recognition. Journal of Ambient Intelligence and Humanized Computing. (SCI Indexed) https://doi.org/10.1007/s12652-021-03687-8
7. Koul, S., Kumar, M., Khurana, S. S., Mushtaq, F., & Kumar, K. (2022). An efficient approach for copy-move image forgery detection using Convolution Neural Network. Multimedia Tools and Applications, 81(8), 11259–11277. (SCI Indexed) https://doi.org/10.1007/s11042-022-11974-5
8. Kumar, M., Jindal, M. K., & Kumar, M. (2022). Design of innovative CAPTCHA for Hindi language. Neural Computing and Applications, 34(6), 4957–4992. (SCI Indexed) https://doi.org/10.1007/s00521-021-06686-0
9. Kumar, M., Jindal, M. K., & Kumar, M. (2022). Distortion, rotation and scale-invariant recognition of hollow Hindi characters. SADHANA, 47(2). (SCI Indexed) https://doi.org/10.1007/s12046-022-01847-w
10. Misgar, M. M., Mushtaq, F., Khurana, S. S., & Kumar, M. (2022). Recognition of offline handwritten Urdu characters using RNN and LSTM models. Multimedia Tools and Applications. (SCI Indexed) https://doi.org/10.1007/s11042-022-13320-1
11. Rani, V., Kumar, M., Mittal, A., & Kumar, K. (2022). Artificial Intelligence for cybersecurity: Recent advancements, challenges and opportunities. Robotics and AI for Cybersecurity and Critical Infrastructure in Smart Cities, 73–88. (SCI Indexed) https://doi.org/10.1007/978-3-030-96737-6_4
12. Shaheed, K., Mao, A., Qureshi, I., Abbas, Q., Kumar, M., & Zhang, X. (2022). Finger-vein presentation attack detection using depthwise separable convolution neural network. Expert Systems with Applications, 198, 116786. (SCI Indexed) https://doi.org/10.1016/j.eswa.2022.116786
13. Shaheed, K., Mao, A., Qureshi, I., Kumar, M., Hussain, S., & Zhang, X. (2022). Recent advancements in finger vein recognition technology Methodology, challenges and opportunities. Information Fusion, 79, 84–109. (SCI Indexed) https://doi.org/10.1016/j.inffus.2021.10.004
14. Shaheed, K., Mao, A., Qureshi, I., Kumar, M., Hussain, S., Ullah, I., & Zhang, X. (2022). DS-CNN: A pre-trained XCEPTION model based on depth-wise separable convolutional neural network for finger vein recognition. Expert Systems with Applications, 191, 116288. (SCI Indexed) https://doi.org/10.1016/j.eswa.2021.116288
15. Singh, A., Kaur, N., Kukreja, V., Kadyan, V., & Kumar, M. (2022). Computational intelligence in processing of Speech Acoustics: A survey. Complex & Intelligent Systems, 8(3), 2623–2661. (SCI Indexed) https://doi.org/10.1007/s40747-022-00665-1
16. Singh, S., Garg, N. K., & Kumar, M. (2022). Feature extraction and classification techniques for handwritten Devanagari text recognition: A survey. Multimedia Tools and Applications. (SCI Indexed) https://doi.org/10.1007/s11042-022-13318-9
Year 2021
Chaturvedi, V., Kaur, A. B., Varshney, V., Garg, A., Chhabra, G. S., & Kumar, M. (2021). Music mood and human emotion recognition based on physiological signals: A systematic review. Multimedia Systems, 28(1), 21–44. (SCI Indexed) https://doi.org/10.1007/s00530-021-00786-6
Kumar, M., Jindal, M. K., & Kumar, M. (2021). A systematic survey on CAPTCHA RECOGNITION: Types, creation and breaking techniques. Archives of Computational Methods in Engineering, 29(2), 1107–1136. (SCI Indexed)https://doi.org/10.1007/s11831-021-09608-4
Y. Kumar, N. Singh, Munish Kumar, and A. Singh, “AutoSSR: an efficient approach for automatic spontaneous speech recognition model for the Punjabi Language”, Soft Computing, Vol. 25, pp. 1617–1630, 2021 (SCI Indexed) https://link.springer.com/article/10.1007/s00500-020-05248-1
M. Mittal, Munish Kumar, A. Verma, I. Kaur, B. Kaur, M. Sharma and L. M. Goyal, “FEMT: a computational approach for fog elimination using multiple thresholds”, Multimedia Tools and Applications, Vol. 80, pp. 227–241, 2021 (SCI Indexed) https://link.springer.com/article/10.1007/s11042-020-09657-0
M. Arora and Munish Kumar, “AutoFER: PCA and PSO Based Automatic Facial Emotion Recognition”, Multimedia Tools and Applications, Vol. 80, pp. 3039–3049, 2021.(SCI Indexed) https://link.springer.com/article/10.1007/s11042-020-09726-4
H. Kaur and Munish Kumar “On the Recognition of Offline Handwritten Word Using Holistic Approach and AdaBoost Methodology”, Multimedia Tools and Applications, 2021 (In Press), (SCI Indexed) https://link.springer.com/article/10.1007/s11042-020-10297-7
A. Kumar, Munish Kumar, A. Kaur “Face Detection in Still Images under Occlusion and non-uniform illumination” Multimedia Tools and Applications, 2021(In Press), (SCI Indexed) https://link.springer.com/article/10.1007/s11042-020-10457-9
S. Rani, M. Kaur and Munish Kumar “Detection of Shilling Attack in Recommender System for YouTube Video Statistics using Machine Learning Techniques”, Soft Computing, 2021 (In Press), (SCI Indexed) https://link.springer.com/article/10.1007/s00500-021-05586-8
K. Kapoor, S. Rani, Munish Kumar, V. Chopra and G. S. Brar “Hybrid Local Phase Quantization and Grey Wolf Optimization Based SVM for Finger Vein Recognition”, Multimedia Tools and Applications, 2021 (In Press), (SCI Indexed) https://link.springer.com/article/10.1007/s11042-021-10548-1
H. Singh, R. K. Sharma, V. P. Singh and Munish Kumar “Recognition of Online Handwritten Gurmukhi Characters Using Recurrent Neural Network”, Soft Computing, 2021 (In Press), (SCI Indexed) https://link.springer.com/article/10.1007/s00500-021-05620-9
Munish Kumar, N. Singh, R. Kumar, S. Goel and K. Kumar “Gait Recognition Based on Vision Systems: A Systematic Survey”, Journal of Visual Communication and Image Representation, Vol. 75, pp. 103052, 2021, (SCI Indexed).https://www.sciencedirect.com/science/article/abs/pii/S1047320321000249
M. Bansal, Munish Kumar and M. Kumar “2D Object Recognition: A Comparative Analysis of SIFT, SURF, and ORB Feature Descriptors”, Multimedia Tools and Applications, 2021(In Press), (SCI Indexed) https://link.springer.com/article/10.1007/s11042-021-10646-0
L. M. Goyal, M. Mittal, Munish Kumar, B. Kaur, M. Sharma and A. Verma, "An Efficient Method of Multicolor Detection Using Global Optimum Thresholding For Image Analysis”, Multimedia Tools and Applications, 2021(In Press), (SCI Indexed) https://link.springer.com/article/10.1007/s11042-020-10365-y
K. Shaheed, A. Mao, I. Qureshi, Munish Kumar, Q. Abbas, I. Ullah and X. Zhang, "A Systematic Review on Physiological-Based Biometric Recognition Systems: Current and Future Trends", Archives of Computational Methods in Engineering, 2021(In Press), (SCI Indexed) https://link.springer.com/article/10.1007/s11831-021-09560-3
S. Singh, U. Ahuja, Munish Kumar, K. Kumar and M. Sachdeva, "Face mask detection using YOLOv3 and faster R-CNN models: COVID-19 environment", Multimedia Tools and Applications, 2021(In Press), (SCI Indexed). https://link.springer.com/article/10.1007/s11042-021-10711-8
S. R. Narang, Munish Kumar, M. K. Jindal, "DeepNetDevanagari: a deep learning model for Devanagari ancient character recognition", Multimedia Tools and Applications, 2021(In Press), (SCI Indexed) https://link.springer.com/article/10.1007/s11042-021-10775-6.
Year 2020
P. Chhabra, N. K. Garg and Munish Kumar, “Content-Based Image Retrieval System using ORB and SIFT Features”, Neural Computing and Applications, Vol. 32, pp. 2725–2733, 2020. (SCI Indexed) https://link.springer.com/article/10.1007/s00521-018-3677-9
Munish Kumar and S. R. Jindal, “A Study of Recognition of Pre-Segmented Handwritten Multi-lingual Characters”, Archives of Computational Methods in Engineering, Vol. 27, pp. 577–589, 2020. (SCI Indexed) https://link.springer.com/article/10.1007/s11831-019-09332-0
Munish Kumar, M. K. Jindal, R. K. Sharma, and S. R. Jindal, “Performance Evaluation of Classifiers for the Recognition of Offline Handwritten Gurumukhi Characters and Numerals: A Study”, Artificial Intelligence Review, Vol. 53, pp. 2075–2097, 2020. (SCI Indexed) https://link.springer.com/article/10.1007/s10462-019-09727-2
A. Singh, V. Kadyan, Munish Kumar, and N. Baggan “ASRoIL: a comprehensive survey for automatic speech recognition of Indian languages”, Artificial Intelligence Review, Vol. 53, pp. 3673–3704, 2020. (SCI Indexed) https://link.springer.com/article/10.1007/s10462-019-09775-8
S. Gupta and Munish Kumar, “Forensic document examination system using boosting and bagging methodologies”, Soft Computing, Vol. 24, pp. 5409–5426, 2020. (SCI Indexed) https://link.springer.com/article/10.1007/s00500-019-04297-5
R. P. Kaur, Munish Kumar and M. K. Jindal, “Newspaper Text Recognition of Gurumukhi Script Using Random Forest Classifier”, Multimedia Tools and Applications, Vol. 79, pp. 7435–7448, 2020.(SCI Indexed) https://link.springer.com/article/10.1007/s11042-019-08365-8
S. Dargan and Munish Kumar, “A comprehensive survey on the biometric recognition systems based on physiological and behavioral modalities”, Expert Systems with Applications, Vol. 143, 1131142020, 2020. (SCI Indexed) https://www.sciencedirect.com/science/article/abs/pii/S0957417419308310
Munish Kumar, S. Gupta and N. Mohan, “A Computational Approach for Printed Document Forensics using SURF and ORB Features” Soft Computing, Vol. 24, pp. 13197-13208, 2020 (SCI Indexed) https://link.springer.com/article/10.1007/s00500-020-04733-x
S. Gupta, K. Thakur and Munish Kumar, “2D-Human Face Recognition Using SIFT and SURF descriptors of Face’s Feature Regions” The Visual Computer, pp. 1-10, 2020 (In Press), (SCI Indexed) https://link.springer.com/article/10.1007/s00371-020-01814-8
M. Bansal, Munish Kumar, and M. Kumar, “2D Object Recognition Techniques: State- of-the-Art Work”, Archives of Computational Methods in Engineering, pp. 1-15, 2020 (In Press), (SCI Indexed) https://link.springer.com/article/10.1007/s11831-020-09409-1
S. R. Narang, M. K. Jindal and Munish Kumar, “Ancient Text Recognition: A Review” Artificial Intelligence Review, Vol. 53, pp. 5517–5558,2020. DOI: 10.1007/s10462020-09827-4 (SCI Indexed) https://link.springer.com/article/10.1007/s10462-020-09827-4
I. R. Parray, S. Singh and Munish Kumar, “Time Series Data Analysis of Stock Price Movement Using Machine Learning Techniques”, Soft Computing, Vol. 24, pp. 16509- 16517, 2020. (SCI Indexed) https://link.springer.com/article/10.1007/s00500-020-04957-x
S. R. Narang, M. K. Jindal, S. Ahuja, and Munish Kumar, “On the Recognition of Devanagari Ancient Handwritten Characters using SIFT and Gabor Features”, Soft Computing, Vol. 24, pp. 17279-17289, 2020 (SCI Indexed https://link.springer.com/article/10.1007/s00500-020-05018-z
S. Gupta, N. Mohan and Munish Kumar, “A Study on Source Device Attribution using Still Images”, Archives of Computational Methods in Engineering, 2020. (SCI Indexed https://link.springer.com/article/10.1007/s11831-020-09452-y
R. P. Kaur, M. K. Jindal, and Munish Kumar, “Text and Graphics Segmentation of Newspaper Printed in Gurmukhi Script: A Hybrid Approach”, The Visual Computer, 2020 (In Press), (SCI Indexed https://link.springer.com/article/10.1007/s00371-020-01927-0
H. Kaur and Munish Kumar, “Offline Handwritten Gurumukhi Word Recognition Using eXtreme Gradient Boosting Methodology”, Soft Computing, 2020 (In Press), (SCI Indexed) https://link.springer.com/article/10.1007/s00500-020-05455-w
M. Bansal, Munish Kumar, M. Kumar, K. Kumar “An Efficient Technique for Object Recognition Using Shi-Tomasi Corner Detection Algorithm”, Soft Computing, 2020 (In Press), (SCI Indexed) https://link.springer.com/article/10.1007/s00500-020-05453-y
Munish Kumar, S. Gupta, K. Kumar and M. Sachdeva, “Spreading of Covid-19 in India, Italy, Japan, Spain, UK, US: A Prediction Using ARIMA and LSTM Model”, Digital Government: Research and Practice, Article No. 24,2020 https://dl.acm.org/doi/10.1145/3411760
S. Dargan and Munish Kumar, “Writer Identification System Based on Offline handwritten Text in Gurumukhi Script”, Proceedings of International Conference on Parallel, Distributed and Grid Computing (PDGC-2020),2020.
H. Singh, R. K. Sharma, R. Kumar, K. Verma, R. Kumar and Munish Kumar, “A Benchmark Dataset of Online Handwritten Gurmukhi Script Words and Numerals”, Proceedings of the International Conference on Computer Vision and Image Processing, 457- 466,2020. https://link.springer.com/chapter/10.1007/978-981-15-4018-9_41
Year 2019
H. Singh, R. K. Sharma and Munish Kumar, “A Benchmark Dataset of Online Handwritten Gurmukhi Script Words and Numerals”, Proceedings of the International Conference on Computer Vision and Image Processing, Jaipur, India,2019 https://link.springer.com/chapter/10.1007/978-981-15-4018-9_41
Year 2018
Year 2017
S. Gupta, Y. J. Singh and Munish Kumar, “Object Detection Using Multiple Shape- Based Features”, Proceedings of International Conference on Parallel, Distributed and Grid Computing (PDGC-2018), Jaypee University of Information Technology, Waknaghat (Shimla), pp. 433-437,2017 https://ieeexplore.ieee.org/document/7913234
Year 2016
Munish Kumar, R. K. Sharma and M. K. Jindal, “A Framework for Grading Writers using Offline Gurmukhi Characters”, Proceedings of the National Academy of Sciences- Physical Science- A, Vol. 86(3), pp. 405-415, 2016. (SCI Indexed https://link.springer.com/article/10.1007/s40010-016-0277-x
Year 2014
Munish Kumar, R. K. Sharma and M. K. Jindal, “Efficient Feature Extraction Techniques for Offline Handwritten Gurmukhi Character Recognition”, National Academy Science Letters, Vol. 37(4), pp. 381-391, 2014. (SCI Indexed https://link.springer.com/article/10.1007/s40009-014-0253-4
Munish Kumar, R. K. Sharma and M. K. Jindal, “A Novel Hierarchical Technique for Offline Handwritten Gurmukhi Character Recognition”, National Academy Science Letters, Vol. 37(6), pp. 567-572, 2014. (SCI Indexed https://link.springer.com/article/10.1007/s40009-014-0280-1
S. Bansal, M. Garg and Munish Kumar, “A Technique for Offline Handwritten Character Recognition”, International Journal of Computing and Technology, Vol. 1(2), pp. 210-215,2014 https://www.semanticscholar.org/paper/A-Technique-for-Offline-Handwritten-Character-Bansal-Garg/30e83335e6caa383b486fa174d0ffce95919f800
Year 2013
Munish Kumar, R. K. Sharma and M. K. Jindal, “A Novel Feature Extraction Technique for Offline Handwritten Gurmukhi Character Recognition”, IETE Journal of Research, Vol. 59(6), pp. 687-692, 2013. (SCI Indexed https://www.tandfonline.com/doi/abs/10.4103/0377-2063.126961
Year 2012
Year 2011
Munish Kumar, M. K. Jindal and R. K. Sharma, “k-Nearest Neighbour Based Offline Handwritten Gurmukhi Character Recognition”, Proceedings of International Conference on Image Information Processing, Jaypee University of Information Technology, Waknaghat (Shimla), pp. 1-4,2011 https://ieeexplore.ieee.org/document/6108863
Munish Kumar, R. K. Sharma and M. K. Jindal, “Classification of Characters and Grading Writers in Offline Handwritten Gurmukhi Script”, Proceedings of International Conference on Image Information Processing, Jaypee University of Information Technology, Waknaghat (Shimla), pp. 1-4,2011 https://ieeexplore.ieee.org/document/6108859
Munish Kumar, M. K. Jindal and R. K. Sharma, “Offline Handwritten Gurmukhi Character Recognition Using CurvatureFeature”, Proceedings of International Conference on Advances in Modeling, Optimization and Computing, IIT Roorkee, pp. 981- 989, 2011.
Year 2010