AregawiF/Amharic-Alphabet-Recognition-DL

This repository contains a deep learning project for recognizing Amharic alphabetical family characters (ሀ to በ). The project covers the complete workflow from custom data collection and preprocessing to model design, training, and evaluation using convolutional neural networks (CNNs). # Amharic Alphabet Family Recognition Using Deep Learning ## 📌 Project Overview This project focuses on recognizing **Amharic alphabetical family characters (ሀ to በ)** using deep learning techniques. The goal is to build an end-to-end deep learning system starting from **custom data collection** to **model design, training, and evaluation**. --- ## 🎯 Objectives - Collect a **custom dataset** of Amharic alphabetical family characters (ሀ to በ) - Preprocess and label the dataset - Design and train a **deep learning model** for character recognition - Evaluate model performance using appropriate metrics - Document the full workflow clearly - Submit clean, well-organized code via GitHub --- ## 🔠 Alphabet Classes The project focuses on the following Amharic alphabet family characters: - ሀ - ለ - ሐ - መ - ሠ - ረ - ሰ - ሸ - ቀ - በ --- ## 📊 Dataset Collection - The dataset was **collected manually by the project team** - Characters were written by multiple individuals to ensure diversity - Images were captured using mobile phone cameras and scanners - Each image was labeled according to its corresponding Amharic character - No open-source or publicly available datasets were used --- ## 🧹 Data Preprocessing - Image resizing and normalization - Noise removal and grayscale conversion - Dataset splitting: - Training set - Validation set - Test set --- ## 🧠 Model Architecture - Convolutional Neural Network (CNN) - Key components: - Convolutional layers - ReLU activation - Max pooling - Fully connected layers - Softmax output layer The model is trained to classify input images into one of the 10 Amharic alphabet family classes. --- ## ⚙️ Tools & Technologies - Python - NumPy - OpenCV - Matplotlib - Google Colab / Local Machine --- ## 📈 Evaluation Metrics - Accuracy - Loss - Confusion Matrix - Training vs Validation curves ## 📁 Project Structure ```text Amharic-Alphabet-Family-Recognition-Using-Deep-Learning/ | +-- dataset/ | +-- preprocessing/ | +-- preprocess.py | …