These projects all apply computer vision, OCR, and machine learning to process, digitize, and translate Armenian text and gestures, including historical documents, handwriting, sign language, and license plates.
An Armenian OCR pipeline combining CRAFT for text detection and a deep learning model for text recognition, specifica...
An open-source OCR model trained for Armenian text recognition, supporting Classical, Western, and Eastern Armenian. ...
This repository implements an Armenian handwriting text recognition system using computer vision and machine learning...
An AI-powered system for analyzing scanned Armenian newspapers using computer vision (YOLO for section detection, Ope...
A real-time Armenian Sign Language translator using MediaPipe for hand landmark extraction and an LSTM neural network...
A real-time Armenian sign language translation tool using MediaPipe for hand landmark extraction and an LSTM neural n...
A real-time Armenian license plate detection system using YOLOv5 for object detection, packaged with a Streamlit web ...
An end-to-end pipeline for digitizing Classical Armenian (Grabar) texts from scanned PDFs into a searchable, translat...