Lexicon-based offline recognition of Amharic words in unconstrained handwritten text

Offline handwritten Amharic word recognition

Offline Handwritten Amharic Character Recognition Using Few-shot Learning

Few-shot learning is an important, but challenging problem of machine learning aimed at learning fro

Gated Convolution and Stacked Self-Attention Encoder–Decoder-Based Model for Offline Handwritten Ethiopic Text Recognition

Offline handwritten text recognition (HTR) is a long-standing research project for a wide range of a

AHWR-Net: offline handwritten amharic word recognition using convolutional recurrent neural network

Abstract Amharic ("Image missing") is the official language of the Federal Government of Ethiopia,

Unconstrained Arabic Online Handwritten Words Segmentation Using New Hmm State Design

In this paper we propose a segmentation system for unconstrained Arabic online handwriting. An essen

infangle/Amharic-Handwritten-Recognition

A machine learning project to recognize handwritten Amharic characters for an Intro to ML course.