| Performance evaluation of classifiers for the recognition of offline handwritten Gurmukhi characters and numerals: a study M Kumar, MK Jindal, RK Sharma, SR Jindal Artificial Intelligence Review 53, 2075-2097, 2020 | 67 | 2020 |
| Character and numeral recognition for non-Indic and Indic scripts: a survey M Kumar, MK Jindal, RK Sharma, SR Jindal Artificial Intelligence Review 52, 2235-2261, 2019 | 66 | 2019 |
| Improved recognition results of medieval handwritten Gurmukhi manuscripts using boosting and bagging methodologies M Kumar, SR Jindal, MK Jindal, GS Lehal Neural Processing Letters 50, 43-56, 2019 | 54 | 2019 |
| Fusion of RGB and HSV colour space for foggy image quality enhancement M Kumar, SR Jindal Multimedia Tools and Applications 78, 9791-9799, 2019 | 20 | 2019 |
| Line segmentation of handwritten Gurmukhi manuscripts S Jindal, GS Lehal Proceeding of the workshop on document analysis and recognition, 74-78, 2012 | 20 | 2012 |
| Performance comparison of several feature selection techniques for offline handwritten character recognition M Kumar, MK Jindal, RK Sharma, S RaniJindal 2018 International conference on research in intelligent and computing in …, 2018 | 17 | 2018 |
| An integrated skew detection and correction using fast Fourier transform and DCT M Kaur, S Jindal International Journal of Scientific and Technology 2, 164-169, 2013 | 17 | 2013 |
| Handwritten gurumukhi character recognition using convolution neural network H Kaur, S Rani International Journal of Computational Intelligence Research 13 (5), 933-943, 2017 | 16 | 2017 |
| A study on recognition of pre-segmented handwritten multi-lingual characters M Kumar, SR Jindal Archives of Computational Methods in Engineering 27 (2), 577-589, 2020 | 15 | 2020 |
| A Survey of Feature Extraction and Classification Techniques Used In Character Recognition for Indian Scripts A Raj, R Srivastava, T Patnaik, B Kumar International Journal of Engineeringand Advanced Technology (IJEAT) ISSN …, 2013 | 15 | 2013 |
| A novel framework for writer identification based on pre-segmented Gurmukhi characters M Kumar, MK Jindal, RK Sharma, SR Jindal Sādhanā 43, 1-9, 2018 | 13 | 2018 |
| Offline handwritten numeral recognition using combination of different feature extraction techniques M Kumar, MK Jindal, RK Sharma, SR Jindal National Academy science letters 41, 29-33, 2018 | 13 | 2018 |
| Segmentation of broken characters of handwritten Gurmukhi script B Mehta, S Rani Research Cell: An International Journal of Engineering Sciences 13, 95-105, 2014 | 10 | 2014 |
| Experimenting language identification for sentiment analysis of english punjabi code mixed social media text N Bansal, V Goyal, S Rani International Journal of E-Adoption (IJEA) 12 (1), 52-62, 2020 | 9 | 2020 |
| Benchmark datasets for offline handwritten Gurmukhi script recognition M Kumar, RK Sharma, MK Jindal, SR Jindal, H Singh Document Analysis and Recognition: 4th Workshop, DAR 2018, Held in …, 2019 | 9 | 2019 |
| Offline handwritten pre-segmented character recognition of Gurmukhi script M Kumar, M Jindal, S Jindal, R Sharma Machine Graphics and Vision 25 (1/4), 45-55, 2016 | 8 | 2016 |
| Improved recognition results of offline handwritten Gurumukhi characters using hybrid features and adaptive boosting M Kumar, MK Jindal, RK Sharma, SR Jindal, H Singh Soft Computing 25 (17), 11589-11601, 2021 | 7 | 2021 |
| Line segmentation using contour tracing A Kumar, SR Jindal, G Bansal Journal of Global Research in Computer Science 3 (1), 50-54, 2012 | 7 | 2012 |
| Segmentation of handwritten Gurmukhi text into lines A Kumar, SR Jindal Proc. of the International Conference on Recent Advances and Future Trends …, 2012 | 7 | 2012 |
| An efficient feature set for handwritten digit recognition NK Garg, S Jindal 15th International Conference on Advanced Computing and Communications …, 2007 | 6 | 2007 |
