reem-atalah / s-he-detector

A machine learning project to detect gender from processing on their handwritten

S-he detector ✏️️

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.

Description 📄

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.

features used for training 📥

LBP

GLCM

COLD

HOG

classifiers used 📤

Gradient Boosting

Random forest

Linear SVM

Adaboost

KNN

MLP

Resulting Accuracies 📈

Run the following to use ⚙️

pip install numpy

pip install skimage

pip install scipy

pip install matplotlib

pip install opencv-python

pip install -U scikit-learn

conda install pandas

Project report for more 📋

https://docs.google.com/document/d/16FQCmli5y5Mh4aV52EdKAZJq52TqvPk_NUzCIPTOZ00/edit?usp=drivesdk

Contributors 👩🏻‍💻👨🏻‍💻

Marim Naser

Mariem Muhammed

Reem Emad

Esraa Amr

Omar Ahmed