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Exploring Sparse Representation for Improved Online Handwriting Recognition.

, , , , and . ICFHR, page 410-415. IEEE Computer Society, (2018)

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An improved discriminative region selection methodology for online handwriting recognition., , and . Int. J. Document Anal. Recognit., 22 (1): 1-14 (2019)GMM posterior features for improving online handwriting recognition., , and . Expert Syst. Appl., (2018)Exploring Sparse Representation for Improved Online Handwriting Recognition., , , , and . ICFHR, page 410-415. IEEE Computer Society, (2018)Comparison of assamese character recognizer using stroke level and character level engines., , , , and . NCC, page 1-6. IEEE, (2015)Exploiting forced alignment of time-reversed data for improving HMM-based handwriting segmentation., , and . Expert Syst. Appl., (2019)DNN-HMM Based Large Vocabulary Online Handwritten Assamese Word Recognition System., , , and . ICFHR, page 321-326. IEEE Computer Society, (2018)Exploring Discriminative HMM States for Improved Recognition of Online Handwriting., , , and . ICPR, page 3753-3758. IEEE Computer Society, (2018)Exploration of CNN Features for Online Handwriting Recognition., , and . ICDAR, page 831-836. IEEE, (2019)Curvature point based HMM state prediction for online handwritten assamese strokes recognition., , and . NCC, page 1-6. IEEE, (2015)