The State of the Art in Online Handwriting Recognition
IEEE Transactions on Pattern Analysis and Machine Intelligence
On-Line and Off-Line Handwriting Recognition: A Comprehensive Survey
IEEE Transactions on Pattern Analysis and Machine Intelligence
Online Handwritten Indian Script Recognition: A Human Motor Function Based Framework
ICPR '02 Proceedings of the 16 th International Conference on Pattern Recognition (ICPR'02) Volume 3 - Volume 3
Online Handwriting Recognition for Tamil
IWFHR '04 Proceedings of the Ninth International Workshop on Frontiers in Handwriting Recognition
Comparison of Elastic Matching Algorithms for Online Tamil Handwritten Character Recognition
IWFHR '04 Proceedings of the Ninth International Workshop on Frontiers in Handwriting Recognition
Dynamic TimeWarping Applied to Tamil Character Recognitio
ICDAR '05 Proceedings of the Eighth International Conference on Document Analysis and Recognition
ICANN'07 Proceedings of the 17th international conference on Artificial neural networks
Lampung - a new handwritten character benchmark: database, labeling and recognition
Proceedings of the 2011 Joint Workshop on Multilingual OCR and Analytics for Noisy Unstructured Text Data
Unconstrained Bangla online handwriting recognition based on MLP and SVM
Proceedings of the 2011 Joint Workshop on Multilingual OCR and Analytics for Noisy Unstructured Text Data
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This article describes a recent effort for database creation and recognition of online handwritten isolated basic characters of Bangla, the second most popular script of the Indian subcontinent. It describes a scheme for extraction of sub-strokes from the online samples of handwritten Bangla characters, which are significantly cursive in shapes. The proposed recognition scheme includes a new feature vector to be computed for each sub-stroke. The recognition performance of the test samples of the present database is evaluated separately on two classifiers -- a Hidden Markov Model (HMM) based classifier and a nearest-neighbour classifier based on Dynamic Time Warping (DTW). The second classifier outperforms the HMM-based classifier for the present test set.