Project for ESE650 learning in robotics: a handwriting recognition system using HMM.
You may need to go to the utils fold and call handwritten_data_utils.py to generate the dataset locally. Before that you may add the repo path to your PYTHONPATH. Also make sure, git lfs is installed to download the files for this project
Available Here
Haoxiang You:
- Write up start point codes and basic utils.
- Implement for HMM and associate algorithms.
- Analyze for result and improve the performance.
Jia Shen:
- Design and implement the observer.
- Write up useful utils for analysis.
- Analyze for result and improve the performance.
| Max likelihood | Bayes Filter | Smooth | Viterbi |
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