Prasad, M. M. (2014) OLDA based online handwriting recogntion. In: Proceedings of 2014 International Conference on Contemporary Computing and Informatics, IC3I 2014.
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The paper presents the work carried out in recognizing online handwritten data using OLDA. A comparative study on the performance of OLDA and RLDA in terms of recognition accuracy and recognition speed is carried out. Online handwritten Kannada basic character data is used for the experiments. Writer independent experiments are carried with 3750 samples for training and 1550 samples for testing. With estimate feature and nearest neighbor as a classifier, an average maximum recognition accuracy of 88.7% and 88.5% has been achieved with OLDA and RLDA respectively. While OLDA has achieved the best recognition accuracy with only 20 eigen vectors, RLDA has taken 25 eigen vectors. The experiments reveal that the performance of OLDA is better than that of RLDA in terms of recognition accuracy, computation cost and also the memory requirements. © 2014 IEEE.
| Item Type: | Conference or Workshop Item (Paper) |
|---|---|
| Uncontrolled Keywords: | Character recognition, Comparative studies, Face recognition, Social networking (online), Recognition accuracy, Discriminant analysis, Linear discriminant analysis, Online handwriting recognition, Memory requirements, Nearest neighbors, On-line handwritings, Regularized linear discriminant analysis |
| Subjects: | D Physical Science > Electronic |
| Divisions: | PG Centre Hassan > Electronics |
| Depositing User: | Arshiya Kousar Library Assistant |
| Date Deposited: | 28 Aug 2019 05:48 |
| Last Modified: | 28 Aug 2019 05:48 |
| URI: | http://eprints.uni-mysore.ac.in/id/eprint/4353 |
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