| DeepNetDevanagari: a deep learning model for Devanagari ancient character recognition SR Narang, M Kumar, MK Jindal Multimedia Tools and Applications 80, 20671-20686, 2021 | 55 | 2021 |
| On the recognition of Devanagari ancient handwritten characters using SIFT and Gabor features SR Narang, MK Jindal, S Ahuja, M Kumar Soft Computing 24, 17279-17289, 2020 | 45 | 2020 |
| Devanagari ancient documents recognition using statistical feature extraction techniques S Narang, MK Jindal, M Kumar Sādhanā 44 (6), 141, 2019 | 36 | 2019 |
| Ancient text recognition: a review SR Narang, MK Jindal, M Kumar Artificial Intelligence Review 53 (8), 5517-5558, 2020 | 34 | 2020 |
| Devanagari ancient character recognition using DCT features with adaptive boosting and bootstrap aggregating SR Narang, MK Jindal, M Kumar Soft Computing 23 (24), 13603-13614, 2019 | 24 | 2019 |
| Devanagari ancient character recognition using HOG and DCT features SR Narang, MK Jindal, P Sharma 2018 fifth international conference on parallel, distributed and grid …, 2018 | 21 | 2018 |
| Drop flow method: an iterative algorithm for complete segmentation of Devanagari ancient manuscripts SR Narang, MK Jindal, M Kumar Multimedia Tools and Applications 78, 23255-23280, 2019 | 13 | 2019 |
| Line segmentation of Devanagari ancient manuscripts SR Narang, MK Jindal, M Kumar Proceedings of the national academy of sciences, India section A: physical …, 2020 | 9 | 2020 |
| Optimization of Character Classes in Devanagari Ancient Manuscripts and Dataset Generation SR Narang, M Kumar, MK Jindal International Conference on Frontiers in Computing and Systems, 59-69, 2022 | | 2022 |
