• header-logo.png Department of Electronics and Electrical Engineering
    Indian Institute of Technology Guwahati
header-logo.png Department of Electronics
and Electrical Engineering
Suresh Sundaram

Dr. Suresh Sundaram

Associate Professor

Key Research Areas : Pattern recognition, Image/ Video Processing and Computer Vision.

Phone No: +91 361 2583458 (O) | Email: sureshsundaram@iitg.ac.in| Room No: 0308

Journal Publications

1. Venugopal V., Sundaram S., "Modified Sparse Representation Classification Framework for Online Writer Identification", IEEE Transactions on Systems, Man, and Cybernetics: Systems , vol.51, issue 1 , (DOI - 10.1109/TSMC.2018.2871267) ,pp.314-325, [2021].

2. Venugopal V., Sundaram S., "Online writer identification system using adaptive sparse representation framework", IET Biometrics , vol.9, issue 3 , (DOI - 10.1049/iet-bmt.2019.0147) ,pp.126-133, [2020].

3. Mandal S., Prasanna S.R.M., Sundaram S., "An improved discriminative region selection methodology for online handwriting recognition", International Journal on Document Analysis and Recognition , vol.22, issue 1 , (DOI - 10.1007/s10032-018-0314-1) ,pp.1-14, [2019].

4. Sundaram S., Ramakrishnan A.G., "Bigram language models and reevaluation strategy for improved recognition of online handwritten Tamil words", ACM Transactions on Asian and Low-Resource Language Information Processing , vol.14, issue 2 , (DOI - 10.1145/2671014) [2015].

Conference Publications

1. Ray S., Roy A., Sundaram S., "A Deep Learning Framework with Histogram Features for Online Writer Identification", Proceedings of International Conference on Frontiers in Handwriting Recognition, ICFHR , vol.2020-September , (DOI - 10.1109/ICFHR2020.2020.00032) ,pp.121-126, [2020].

2. Auddya S., Singh R.K., Sundaram S., "Online Signature Verification using Time Warp Edit Distance based kernel", Proceedings of International Conference on Frontiers in Handwriting Recognition, ICFHR , vol.2020-September , (DOI - 10.1109/ICFHR2020.2020.00065) ,pp.319-324, [2020].

3. Mandal S., Prasanna S.R.M., Sundaram S., "Exploration of CNN features for online handwriting recognition", Proceedings of the International Conference on Document Analysis and Recognition, ICDAR , (DOI - 10.1109/ICDAR.2019.00138) ,pp.831-836, [2019].

4. Venugopal V., Sundaram S., "Online writer identification using gmm based feature representation and writer-specific weights", Proceedings of the International Conference on Document Analysis and Recognition, ICDAR , (DOI - 10.1109/ICDAR.2019.00124) ,pp.743-748, [2019].

5. Mandal S., Shahnawazuddin S., Sinha R., Prasanna S.R.M., Sundaram S., "Exploring sparse representation for improved online handwriting recognition", Proceedings of International Conference on Frontiers in Handwriting Recognition, ICFHR , vol.2018-August , (DOI - 10.1109/ICFHR-2018.2018.00078) ,pp.410-415, [2018].

6. Mandal S., Choudhury H., Prasanna S.R.M., Sundaram S., "DNN-HMM Based large vocabulary online handwritten assamese word recognition system", Proceedings of International Conference on Frontiers in Handwriting Recognition, ICFHR , vol.2018-August , (DOI - 10.1109/ICFHR-2018.2018.00063) ,pp.321-326, [2018].

7. Mandal S., Prasanna S.R.M., Sundaram S., "Discriminative Region based Two Stage System for Online Handwritten Character Recognition", 2017 14th IEEE India Council International Conference, INDICON 2017 , (DOI - 10.1109/INDICON.2017.8487234) [2018].

8. Venugopal V., Pillai S., Sundaram S., "A hierarchical codebook descriptor approach for online writer identification", Proceedings of International Conference on Frontiers in Handwriting Recognition, ICFHR , vol.2018-August , (DOI - 10.1109/ICFHR-2018.2018.00076) ,pp.398-403, [2018].

9. Sharma A., Sundaram S., "Histogram-based matching of GMM encoded features for online signature verification", Proceedings of International Conference on Frontiers in Handwriting Recognition, ICFHR , vol.2018-August , (DOI - 10.1109/ICFHR-2018.2018.00038) ,pp.169-174, [2018].

10. Mandal S., Choudhury H., Mahadeva Prasanna S.R., Sundaram S., "Exploring Discriminative HMM States for Improved Recognition of Online Handwriting", Proceedings - International Conference on Pattern Recognition , vol.2018-August , (DOI - 10.1109/ICPR.2018.8545549) ,pp.3753-3758, [2018].

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