This project is a handwriting gender detection system. It is used to determine the gender of the writer from his handwriting using machine learning techniques.
The project is divided into three main sections:
1- Preprocessing: Prepare the image in a way to be suitable for different feature extraction techniques.
2- Feature Extraction: Here we used four features as they’ve proved their efficiency in detecting different aspects of handwriting.
3- Classification: we append all these features in one vector as our feature vector that will be passed to the classifier for training the model.
LBP
GLCM
COLD
HOG
Gradient Boosting
Random forest
Linear SVM
Adaboost
KNN
MLP
pip install numpy
pip install skimage
pip install scipy
pip install matplotlib
pip install opencv-python
pip install -U scikit-learn
conda install pandas
https://docs.google.com/document/d/16FQCmli5y5Mh4aV52EdKAZJq52TqvPk_NUzCIPTOZ00/edit?usp=drivesdk
Marim Naser |
Mariem Muhammed |
Reem Emad |
Esraa Amr |
Omar Ahmed |