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MAHESHTALA COLLEGE
Estd: 1971. Affiliated to University of Calcutta
Maheshtala College, Kolkata
Dr. Payel Rakshit
Assistant Professor, Department of Computer Science.
M.Sc. (Computer Science), Ph.D (Computer Science).
Permanent Address:
Maheshtala College, Budge Budge Trunc Road, Maheshtala, Kolkata-700139
Local Address:
Maheshtala College, Budge Budge Trunc Road, Maheshtala, Kolkata-700139
Phone (Office):
Phone (Residence):
Joined Institute on 15.06.2017
Email:
Work Experience
Teaching:
7 years
Research:
Others:
8 years
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Professional Background
Teaching Experience
Name of the Organization
Designation
Duration of Work
Maheshtala College
Assistant Professor
June, 2017 - continuing
Research Areas
Pattern Recognition and Analysis
Document Image processing
CNN and Deep Learning
Journal Publications
1. Rakshit, P., Halder, C., Obaidullah, S. M., and Roy, K. (2023). A generalised line segmentation method for multi-script handwritten text documents, Expert Systems with Applications, vol.-212, pages- 118498, DOI: https://doi.org/10.1016/j.eswa.2022.118498, Impact factor: 7.5
2. Rakshit, P., Chatterjee, S., Halder, C., Sen, S., Obaidullah, S. M., and Roy, K. (2023).Comparative study on the performance of the state-of-the-art CNN models for handwritten Bangla character recognition, Multimedia Tools and Applications, vol.-82, pages-1-22, DOI: https://doi.org/10.1007/s11042-022-13909-6, Impact factor: 3.0
3. Rakshit, P., & Mukherjee, H., Halder, C., S, Obaidullah., and Roy, K. (2024). Historical digit recognition using CNN: a study with English handwritten digits. Sādhanā. vol.-49, DOI: 49. https://doi.org/10.1007/s12046-023-02322-w, Impact factor: 1.6
4. De, S., Rakshit, P., Chowdhury, A.B. Optimization of time based fuzzy multi-objective reliability redundancy allocation problem for xj−out−of−m system using tuning and neighborhood based fuzzy MOPSO algorithm, Applied Soft Computing, Volume 149, Part A, 2023, Pages-110998, ISSN 1568-4946, https://doi.org/10.1016/j.asoc.2023.110998, Impact factor: 7.2.
Book Chapters
1. Rakshit, P., Halder, C., and Roy, K. (2019). An Approach toward Character Recognition of Bangla Handwritten Isolated Characters, pages 15–28. Chapman and Hall/CRC. DOI: https://doi.org/10.1201/9780429277573-2
2. Mukherjee, H., Rakshit, P., Dhar, A., Obaidullah, S., Santosh, K. C., Phadikar, S., and Roy, K. (2019). Artificial Intelligence for Document Image Analysis, pages 1–14
Symposium/Conference Publications
Seminar/Conference papers
1. Rakshit, P., Halder, C., Ghosh, S., and Roy, K. (2018). Line, Word, and Character Segmentation from Bangla Handwritten Text-A Precursor Toward Bangla HOCR, pages 109–120, DOI: https://doi.org/10.1007/978-981-10-8180-4_7
2. Rakshit, P., Halder, C., Obaidullah, S., Roy, K., et al. (2020). A survey on line segmentation techniques for indic scripts. In International Conference on Recent Trends in Image Processing and Pattern Recognition, pages 511–522. Springer, https://doi.org/10.1007/978-981-16-0507-9_43
3. Halder, C., Rakshit, P., Das, A., and Roy, K. (2019). A comparative performance study of different classification methods on use of devanagari handwriting as biometric.
4. Mukherjee, H., Phadikar, S., Rakshit, P., and Roy, K. (2016). REARC-a bangla phoneme recognizer. In 2016 International Conference on Accessibility to Digital World (ICADW), pages 177–180.
Member of Professional Bodies
Life member of Computer Society of India (CSI)
Sponsored Research Projects
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