DEPARTMENTS
Manjusha K.
Manjusha K.

Assistant Professor

Office Address:

MB209, Department of Computer Science and Engineering, NIT Calicut, NIT Campus (P O), Kozhikode-673601, Kerala, India.

Contact no:

9626968726

Home Address:

  • B. Tech (Computer Science and Engineering) from Government Engineering College, Palakkad, Kerala.

  • M. Tech (Computational Engineering and Networking) from Amrita School of Engineering, Coimbatore, Tamil Nadu.

  • Ph. D. from Amrita School of Engineering, Coimbatore, Tamil Nadu.

  • Educational Qualifications

    • B. Tech (Computer Science and Engineering) from Government Engineering College, Palakkad, Kerala.

    • M. Tech (Computational Engineering and Networking) from Amrita School of Engineering, Coimbatore, Tamil Nadu.

    • Ph. D. from Amrita School of Engineering, Coimbatore, Tamil Nadu.

    Journals

    Manjusha K., Anand Kumar M., and Soman, K.P. Reduced Scattering Representation for Malayalam Character RecognitionArab J Sci Eng 43, 4315–4326, 2018.

    Manjusha K., Anand Kumar M., Soman K. P.. Implementation of rejection strategies inside Malayalam character recognition system based on random Fourier features and regularized least square classifier. Journal of Engineering Science and Technology Vol. 13, No. 1, 141 - 157, 2018.

    Manjusha, K., Anand Kumar M. and Soman, K.P. Integrating scattering feature maps with convolutional neural networks for Malayalam handwritten character recognition. International Journal on Document Analysis and Recognition (IJDAR), 21, 187–198, 2018.

    S. Sooraj, K. Manjusha, M. Anand Kumar andK.P. Soman. Deep learning based spell checker for Malayalam language. Journal of Intelligent & Fuzzy Systems, 34, 3, 1427–1434, 2018.

    J . Jyothi, K. Manjusha, M. Anand Kumar and K. P. Soman. Innovative Feature Sets for Machine Learning based Telugu Character Recognition. Indian Journal of Science and Technology, Vol 8(24), 2015.

    Conferences

    K. Manjusha, M. A. Kumar and K. P. Soman. Scattering representation in Malayalam character recognition. 2017 Twenty-third National Conference on Communications (NCC), 2017.

    Anil, R., Manjusha, K., Kumar, S.S. and Soman, K.P. Convolutional Neural Networks for the Recognition of Malayalam Characters. Proceedings of the 3rd International Conference on Frontiers of Intelligent Computing: Theory and Applications (FICTA), 2015.

    Kumar, S.S., Manjusha, K. and Soman, K.P. Novel SVD Based Character Recognition Approach for Malayalam Language Script. In: Thampi, S., Abraham, A., Pal, S., Rodriguez, J. (eds) Recent Advances in Intelligent Informatics. Advances in Intelligent Systems and Computing, 2014.

    Google Scholar

    Document Recognition, Hyperspectral Image Processing, Atmospheric Motion Vector Derivation, Verification of Recognition Systems.