Department of Electronics and Electrical Engineering
Indian Institute of Technology Guwahati
Guwahati-781039, India

EEE Department, IIT Guwahati

Dr. Suresh Sundaram

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Ph. D. IISc Bangalore
Designation: Associate Professor

Suresh Sundaram joined the institute in 2013.

Contact Details
Office Address : Room No. #308, EEE Dept., IIT Guwahati-781039, INDIA.
Phone: +91 361 2583458 (O)
Fax: +91-361-2582542
Email: sureshsundaram[AT*]iitg.ernet.in

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


Selected Publications

Journals
  • Vivek Venugopal, Suresh Sundaram, Modified Sparse Representation Classification Framework for Online Writer Identification. IEEE Trans. Syst. Man Cybern. Syst. 51(1): 314-325 (2021).
  • Vivek Venugopal, Suresh Sundaram, Online writer identification system using adaptive sparse representation framework. IET Biom. 9(3): 126-133 (2020).
  • Subhasis Mandal, S. R. Mahadeva Prasanna, Suresh Sundaram:  An improved discriminative region selection methodology for online handwriting recognition. Int. J. Document Anal. Recognit. 22(1): 1-14 (2019).
  • Subhasis Mandal, S. R. Mahadeva Prasanna, Suresh Sundaram: GMM posterior features for improving online handwriting recognition. Expert Syst. Appl. 97: 421-433 (2018).
  • Vivek Venugopal, Suresh Sundaram: An improved online writer identification framework using codebook descriptors. Pattern Recognit. 78: 318-330 (2018).
  • Abhishek Sharma, Suresh Sundaram: On the Exploration of Information From the DTW Cost Matrix for Online Signature Verification. IEEE Trans. Cybern. 48(2): 611-624 (2018).
  • Vivek Venugopal, Suresh Sundaram: Online Writer Identification With Sparse Coding-Based Descriptors. IEEE Trans. Inf. Forensics Secur. 13(10): 2538-2552 (2018).
  • Vivek Venugopal, Suresh Sundaram: An online writer identification system using regression-based feature normalization and codebook descriptors. Expert Syst. Appl. 72: 196-206 (2017).
  • Abhishek Sharma, Suresh Sundaram: A Novel Online Signature Verification System Based on GMM Features in a DTW Framework. IEEE Trans. Inf. Forensics Secur. 12(3): 705-718 (2017).
  • Abhishek Sharma, Suresh Sundaram: An enhanced contextual DTW based system for online signature verification using Vector Quantization. Pattern Recognit. Lett. 84: 22-28 (2016).
  • Suresh Sundaram, A. G. Ramakrishnan: Bigram Language Models and Reevaluation Strategy for Improved Recognition of Online Handwritten Tamil Words. ACM Trans. Asian Low Resour. Lang. Inf. Process. 14(2): 8:1-8:28 (2015).
  • Suresh Sundaram, A. G. Ramakrishnan: Performance enhancement of online handwritten Tamil symbol recognition with reevaluation techniques. Pattern Anal. Appl. 17(3): 587-609 (2014).
  • Suresh Sundaram, A. G. Ramakrishnan: Attention-Feedback Based Robust Segmentation of Online Handwritten Isolated Tamil Words. ACM Trans. Asian Lang. Inf. Process. 12(1): 4:1-4:25 (2013).
  • Amrik Sen, Gopal Ananthakrishnan, Suresh Sundaram, A. G. Ramakrishnan: Dynamic Space Warping of Strokes for Recognition of Online Handwritten Characters. Int. J. Pattern Recognit. Artif. Intell. 23(5): 925-943 (2009).

Conference Publications
  • Sounak Ray, Addrish Roy, Suresh Sundaram: A Deep Learning Framework with Histogram Features for Online Writer Identification. ICFHR 2020: 121-126.
  • Sarojit Auddya, Rajat Kumar Singh, Suresh Sundaram: Online Signature Verification using Time Warp Edit Distance based kernel. ICFHR 2020: 319-324.
  • Vivek Venugopal, Suresh Sundaram: Online Writer Identification using GMM Based Feature Representation and Writer-Specific Weights. ICDAR 2019: 743-748.
  • Subhasis Mandal, S. R. M. Prasanna, Suresh Sundaram: Exploration of CNN Features for Online Handwriting Recognition. ICDAR 2019: 831-836.
  • Abhishek Sharma, Suresh Sundaram: Histogram-Based Matching of GMM Encoded Features for Online Signature Verification. ICFHR 2018: 169-174.
  • Subhasis Mandal, Himakshi Choudhury, S. R. Mahadeva Prasanna, Suresh Sundaram: DNN-HMM Based Large Vocabulary Online Handwritten Assamese Word Recognition System. ICFHR 2018: 321-326.
  • Vivek Venugopal, Surbhi Pillai, Suresh Sundaram: A Hierarchical Codebook Descriptor Approach for Online Writer Identification. ICFHR 2018: 398-403.
  • Subhasis Mandal, Syed Shahnawazuddin, Rohit Sinha, S. R. Mahadeva Prasanna, Suresh Sundaram: Exploring Sparse Representation for Improved Online Handwriting Recognition. ICFHR 2018: 410-415.
  • Subhasis Mandal, Himakshi Choudhury, S. R. Mahadeva Prasanna, Suresh Sundaram: Exploring Discriminative HMM States for Improved Recognition of Online Handwriting. ICPR 2018: 3753-3758.
  • Vivek Venugopal, Abhishek Sharma, Rishabh Singh, Abhinav Sharma, Suresh Sundaram: A Vector Quantization Based Feature Descriptor for Online Signature Verification. ICDAR 2017: 1210-1215.
  • Salil Kanetkar, Ayush Pathania, Vivek Venugopal, Suresh Sundaram: Offline Writer Identification Using Local Derivative Pattern. ICFHR 2016: 355-360.
  • Isht Dwivedi, Swapnil Gupta, Vivek Venugopal, Suresh Sundaram: Online Writer Identification Using Sparse Coding and Histogram Based Descriptors. ICFHR 2016: 572-577.
  • Subhasis Mandal, Himakshi Choudhury, SR Mahadeva Prasanna, Suresh Sundaram, Frequency count based two stage classification for online handwritten character recognition, SPCOM 2016: 1-6
  • Gautam Singh, Suresh Sundaram: A subtractive clustering scheme for text-independent online writer identification. ICDAR 2015: 311-315.
  • Himakshi Choudhury, Subhasis Mandal, Sanjeevan Devnath, S. R. M. Prasanna, Suresh Sundaram: Comparison of Assamese character recognizer using stroke level and character level engines. NCC 2015: 1-6.
  • Subhasis Mandal, S. R. Mahadeva Prasanna, Suresh Sundaram: Curvature point based HMM state prediction for online handwritten Assamese strokes recognition. NCC 2015: 1-6.
  • Himakshi Choudhury, Subhasis Mandal, Sanjeevan Devnath, SR Mahadeva Prasanna, Suresh Sundaram: Combining HMM and SVM based stroke classifiers for online Assamese handwritten character recognition, INDICON 2015: 1-6.
  • Suresh Sundaram, K. Bhargava Urala, A. G. Ramakrishnan: Language models for online handwritten Tamil word recognition. DAR@ICVGIP 2012: 42-48.
  • Suresh Sundaram, Angarai Ganesan Ramakrishnan: Lexicon-free, novel segmentation of online handwritten Indic words. ICDAR 2011: 1175-1179.
  • Suresh Sundaram, Angarai Ganesan Ramakrishnan: An Improved Online Tamil Character Recognition Engine Using Post-Processing Methods. ICDAR 2009: 1216-1220.
  • G. Ramakrishnan, Suresh Sundaram: Resolving Ambiguities in Confused Online Tamil Characters with Post Processing Algorithms. PReMI 2009: 406-413.
  • Suresh Sundaram, Angarai Ganesan Ramakrishnan: Two dimensional principal component analysis for online character recognition. ICFHR 2008: 88-94.
  • Suresh Sundaram, Angarai Ganesan Ramakrishnan: A novel hierarchical classification scheme for online Tamil character recognition. ICDAR 2007: 1218-1222.