Subhasis Mandal

According to our database, Subhasis Mandal authored at least 10 papers between 2015 and 2019.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2019

An improved discriminative region selection methodology for online handwriting recognition.

Subhasis Mandal, S. R. Mahadeva Prasanna, Suresh Sundaram

Int. J. Document Anal. Recognit., 2019

Exploiting forced alignment of time-reversed data for improving HMM-based handwriting segmentation.

Himakshi Choudhury, Subhasis Mandal, S. R. Mahadeva Prasanna

Expert Syst. Appl., 2019

Exploration of CNN Features for Online Handwriting Recognition.

Subhasis Mandal, S. R. M. Prasanna, Suresh Sundaram

Proceedings of the 2019 International Conference on Document Analysis and Recognition, 2019

2018

GMM posterior features for improving online handwriting recognition.

Subhasis Mandal, S. R. Mahadeva Prasanna, Suresh Sundaram

Expert Syst. Appl., 2018

Exploring Discriminative HMM States for Improved Recognition of Online Handwriting.

Subhasis Mandal, Himakshi Choudhury, S. R. Mahadeva Prasanna, Suresh Sundaram

Proceedings of the 24th International Conference on Pattern Recognition, 2018

Exploring Sparse Representation for Improved Online Handwriting Recognition.

Subhasis Mandal, Syed Shahnawazuddin, Rohit Sinha, S. R. Mahadeva Prasanna, Suresh Sundaram

Proceedings of the 16th International Conference on Frontiers in Handwriting Recognition, 2018

DNN-HMM Based Large Vocabulary Online Handwritten Assamese Word Recognition System.

Subhasis Mandal, Himakshi Choudhury, S. R. Mahadeva Prasanna, Suresh Sundaram

Proceedings of the 16th International Conference on Frontiers in Handwriting Recognition, 2018

2016

Frequency count based two stage classification for online handwritten character recognition.

Subhasis Mandal, Himakshi Choudhury, S. R. Mahadeva Prasanna, Suresh Sundaram

Proceedings of the 2016 International Conference on Signal Processing and Communications (SPCOM), 2016

2015

Curvature point based HMM state prediction for online handwritten assamese strokes recognition.

Subhasis Mandal, S. R. Mahadeva Prasanna, Suresh Sundaram

Proceedings of the Twenty First National Conference on Communications, 2015

Comparison of assamese character recognizer using stroke level and character level engines.

Himakshi Choudhury, Subhasis Mandal, Sanjeevan Devnath, S. R. M. Prasanna, Suresh Sundaram

Proceedings of the Twenty First National Conference on Communications, 2015