| 1 |
S. Bhowmik, R. Sarkar, B. Das, D. Doermann, “ GiB: A Game Theory Inspired Binarization Technique for Degraded Document Images”. IEEE Transactions on Image Processing, 28(3), 1443-1455, 2019. [Impact Factor 6.79]. |
| 2 |
S. Malakar, M. Ghosh, S. Bhowmik, R. Sarkar, M. Nasipuri, “A GA based Hierarchical Feature Selection Approach for Handwritten Word Recognition”, Neural Computing and Applications, Springer, 2019. [Impact Factor 4.664]. |
| 3 |
S. Bhowmik, R. Sarkar, M. Nasipuri, D. Doermann, “Text and Non-text Separation in Offline Document Images: a Survey”, International Journal on Document Analysis and Recognition (IJDAR), Springer, 21(1-2), 1-20, 2018.[Impact Factor 0.846]. |
| 4 |
S. Bhowmik, S. Malakar, R. Sarkar, S. Basu, M. Kundu, M. Nasipuri, “Off-line Bangla Handwritten Word Recognition: a Holistic Approach”, Neural Computing and Applications, Springer, 2018. [Impact Factor 4.664]. |
| 5 |
S. Sahoo, S. K. Nandi, S. Barua, P. Priyam, S. Bhowmik, S. Malakar, R. Sarkar, “Handwritten Bangla Word Recognition using Negative Refraction based Shape Transformation”, Special Issue on Ambient Advancements in Intelligent Computational Sciences for Journal of Intelligent & Fuzzy Systems- Applications in Engineering and Technology, IOS Press, 35(2), pp. 1765-1777, 2018. [Impact Factor 1.637]. |
| 6 |
S. Ghosh, D. Lahiri, S. Bhowmik, E. Kavallieratou R. Sarkar, “Text/Non-Text Separation from Handwritten Document Images Using LBP Based Features: An Empirical Study”, Journal of Imaging, 4(4), 57, (2018). |
| 7 |
S. Bhowmik, S. Polley, M. G. Roushan, S. Malakar, R. Sarkar, M. Nasipuri, “A Holistic Word Recognition Technique for Handwritten Bangla Words”, Int. J. Applied Pattern Recognition, 2(2), pp.142–159, (2015). |
| 8 |
Ghosh, S., Bhattacharya, R., Majhi, S., Bhowmik, S., Malakar, S., Sarkar, R., (2018) Textual content retrieval from Filled-in Form Images, 4th Workshop on Document Analysis and Recognition (DAR), 18 December 2018, IIIT Hyderabad, India. |
| 9 |
Sah, A. K., Bhowmik, S., Malakar, S., Sarkar, R., Kavallieratou, E., & Vasilopoulos, N. (2017). Text and non-text recognition using modified HOG descriptor. In Calcutta Conference (CALCON), (pp. 64-68). IEEE. |
| 10 |
Bhowmik, S., Sen, S., Hori, N., Sarkar, R., Nasipuri, M. (2017). Handwritten Devanagari Numerals Recognition using Grid based Hausdroff Distance. In Computer, Communication and Electrical Technology: Proceedings of the International Conference on Advancement of Computer Communication and Electrical Technology (ACCET 2016), (p. 15). CRC Press. |
| 11 |
Barua, S., Malakar, S., Bhowmik, S., Sarkar, R., Nasipuri, M. (2017). Bangla Handwritten City Name Recognition Using Gradient-Based Feature. In Proceedings of the 5th International Conference on Frontiers in Intelligent Computing: Theory and Applications (pp. 343-352). Springer, Singapore. |
| 12 |
Das, S., Singh, P. K., Bhowmik, S., Sarkar, R., & Nasipuri, M. (2016). A Harmony Search Based Wrapper Feature Selection Method for Holistic Bangla Word Recognition. Procedia Computer Science, vol. 89, pp. 395-403. |
| 13 |
Bhowmik, S., Polley, S.,Roushan, M.G., Malakar, S., Sarkar, R. Nasipuri, M, (2014) Handwritten Bangla Word Recognition using HOG Descriptor, In Emerging Applications of Information Technology (EAIT-2014), 4th International Conference on (pp. 193-197) IEEE. |
| 14 |
Bhowmik, S., Malakar, S., Sarkar, R. Nasipuri, M, (2014) Handwritten Bangla Word Recognition using Elliptical Features, In Computational Intelligence and Communication Networks (ICCICN) 2014, The 6th International Conference on (pp. 257-261) IEEE. |
| 15 |
Ghosh M., Malakar S., Bhowmik S., Sarkar R., Nasipuri M. (2019) Feature Selection for Handwritten Word Recognition Using Memetic Algorithm. In: Mandal J., Dutta P., Mukhopadhyay S. (eds) Advances in Intelligent Computing. Studies in Computational Intelligence, vol 687. pp. 103- 124, Springer, Singapore. |
| 16 |
Ghosh, M., Malakar, S., Bhowmik, S., Sarkar, R., Nasipuri, M., (2017) Memetic Algorithm based Feature Selection for handwritten City Name Recognition, In: Mandal J., Dutta P., Mukhopadhyay S. (eds) Computational Intelligence, Communications, and Business Analytics. CICBA 2017. Communications in Computer and Information Science, vol. 776, pp.599-613, Springer, Singapore. |
| 17 |
Das, B., Bhowmik, S., Saha, A., Sarkar, R. (2018). An Adaptive Foreground-Background Separation Method for Effective Binarization of Document Images. In: Abraham A., Cherukuri A., Madureira A., Muda A. (eds) Eighth International Conference on Soft Computing and Pattern Recognition (SoCPaR 2016). Advances in Intelligent Systems and Computing, vol 614. Springer, Cham (pp. 515-524). |
| 18 |
Bhowmik, S., Sarkar, R. Nasipuri, M. (2016) Text and Non-text separation in Handwritten Document Images using Local Binary Pattern Operator, In: Mandal J., Satapathy S., Sanyal M., Bhateja V. (eds) Proceedings of the First International Conference on Intelligent Computing and Communication. Advances in Intelligent Systems and Computing, vol. 458. pp. 507-515, Springer, Singapore. |
| 19 |
Singh, P. K., Mondal, A., Bhowmik, S., Sarkar, R., Nasipuri, M. (2015) Word-Level Script Identification from Handwritten Multi-script Documents. In: Satapathy S., Biswal B., Udgata S., Mandal J. (eds) 3rd International Conference on Frontiers of Intelligent Computing: Theory and Applications (FICTA) 2014. Advances in Intelligent Systems and Computing, vol. 327. Springer, Cham (pp. 551-558). |
| 20 |
S. Malakar, S. Paul, S. Kundu, S. Bhowmik, R. Sarkar, & M. Nasipuri (2020)." Handwritten word recognition using lottery ticket hypothesis based pruned CNN model: a new benchmark on CMATERdb2. 1.2.", Neural Computing and Applications, 1-12. [Impact Factor : 4.664] |
| 21 |
K. Mukhopadhyay, R. Bose, A. Mondal, S. Kumar Bera, S. Bhowmik and R. Sarkar, "Removal of Salt and Pepper noise: A Game Theoretic Approach," 2020 IEEE Calcutta Conference (CALCON), Kolkata, India, 2020, pp. 122-126, doi: 10.1109/CALCON49167.2020.9106532. |
| 22 |
R. Guha, K. K. Ghosh, S. Bhowmik and R. Sarkar, "Mutually Informed Correlation Coefficient (MICC) - a New Filter Based Feature Selection Method," 2020 IEEE Calcutta Conference (CALCON), Kolkata, India, 2020, pp. 54-58, doi: 10.1109/CALCON49167.2020.9106516 |
| 23 |
Ghosh, S., Chatterjee, A., Singh, P. K., Bhowmik, S., & Sarkar, R. (2020) "Language-invariant novel feature descriptors for handwritten numeral recognition", The Visual Computer (2020). https://doi.org/10.1007/s00371-020-01938-x [Impact Factor: 1.456 ] |
| 24 |
Malakar, S., Ghosh, M., Chaterjee, A., Bhowmik, S., & Sarkar, R. (2020). Offline music symbol recognition using Daisy feature and quantum Grey wolf optimization based feature selection. Multimedia Tools and Applications, 1-26. DOI: https://doi.org/10.1007/s11042-020-09638-3, 2020 [IF: 2.313 ] |
| 25 |
Ghosh, M., Ghosh, K. K., Bhowmik, S., & Sarkar, R. (2020). Coalition game based feature selection for text non-text separation in handwritten documents using LBP based features. Multimedia Tools and Applications, 1-21. [IF-2.313] |
| 26 |
Bhattacharya, R., Malakar, S., Ghosh, S., Bhowmik, S., & Sarkar, R. (2020). Understanding contents of filled-in Bangla form images. Multimedia Tools and Applications, 1-42. [IF 2.313] |
| 27 |
Bera, S. K., Ghosh, S., Bhowmik, S., Sarkar, R., & Nasipuri, M. (2020). A non-parametric binarization method based on ensemble of clustering algorithms. Multimedia Tools and Applications, 1-21. [IF 2.313] |
| 28 |
Bhowmik, Showmik, Soumyadeep Kundu, and Ram Sarkar. "BINYAS: a complex document layout analysis system." Multimedia Tools and Applications (2020): 1-34. [IF 2.313] |
| 29 |
R. Mondal, S. Bhowmik and R. Sarkar, "tsegGAN: a Generative Adversarial Network for Segmenting Touching Non-text Components from Text ones in Handwriting," in IEEE Transactions on Instrumentation and Measurement, doi: 10.1109/TIM.2020.3038277. |
| 30 |
Basu, A., Mondal, R., Bhowmik, S., & Sarkar, R. (2020). U-Net versus Pix2Pix: a comparative study on degraded document image binarization. Journal of Electronic Imaging, 29(6), 063019. |
| 31 |
Ghosh, S., Hassan, S. K., Khan, A. H., Manna, A., Bhowmik, S., & Sarkar, R. (2021). Application of texture-based features for text non-text classification in printed document images with novel feature selection algorithm. Soft Computing, 1-19.https://doi.org/10.1007/s00500-021-06260-9 |
| 32 |
Bhowmik, S. Utilization of relative context for text non-text region classification in offline documents using multi-scale dilated convolutional neural network. Multimed Tools Appl (2023). https://doi.org/10.1007/s11042-023-16546-9 |
