Armenian-Handwritten-Signs-Detection-and-Recognition

Summary

This project implements a deep learning system for detecting and recognizing handwritten Armenian characters using a CNN-BiLSTM hybrid model trained on the Mashtots dataset. It includes data preprocessing, model training, evaluation, and a pipeline for character detection in new images using OpenCV.