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https://github.com/mohammed-raafat/character-recognition-project

The project classifies characters (Hand-Written) by three algorithms Weighted kNN, Bayesian and SVM (using MATLAB R2016b and App Design GUI)
https://github.com/mohammed-raafat/character-recognition-project

artificial-intelligence bayesian-algorithm deep-learning knn-algorithm machine-learning matlab-gui neural-network pattern-recognition support-vector-machine

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The project classifies characters (Hand-Written) by three algorithms Weighted kNN, Bayesian and SVM (using MATLAB R2016b and App Design GUI)

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# Character-Recognition-Project
[Educational Project] (FCIH-Egypt)*

- The main feature of this project is to classify characters (Hand-Written) by one of three algorithms: Weighted kNN, Bayesian and SVM, and there are more features.

- Using MATLAB R2016b and App Design GUI

- Dataset from: https://archive.ics.uci.edu/ml/datasets.html.

- Team Members:
Taha Hussein Mamdouh (https://github.com/taha7ussein007),
Mohammed Raafat Ibrahim (https://github.com/Mohammed-Raafat),
Mahmoud Said Hamed (https://github.com/MekkyUA),
AbdelRahman Mahmoud Youssif.

*Faculty of Computers and Information - Helwan University - Egypt