handwritten-writer-identification

handwritten writer identification using classical machine learning pattern recognition techniques

Requirements

you can install the requirements using
pip install -r requirements.txt
or you can use conda to create a virtual environment and install packages using
conda env create -f environment.yaml

STAT

+ Total number of authors: 657
+ Total number of authors with three or more forms: 159
+ Total number of forms in the system: 1539

Tuning

1- regz with svm
    + ran for 100 epochs
    + tested with (3,2,1) forms (ie. three authors with two forms each for fitting and one for testing)
    + results at graphs/tune_regz_svm.png

2-