In recent years, handwritten character recognition has become an active research field. In
particular, digitalization has triggered the interest of researchers from various computing …

Amharic () is the official language of the Federal Government of Ethiopia, with more than 27
million speakers. It uses an Ethiopic script, which has 238 core and 27 labialized characters …

Handwritten digit recognition is one of the extensively studied areas in machine learning.
Apart from the wider research on handwritten digit recognition on MNIST dataset, there are …

Amharic is an ancient Semitic language that serves as the official language of the Federal
Republic of Ethiopia. Due to the large number of historical and literary documents written in …

Handwriting recognition of historical documents is still largely unsolved problem in the field
of pattern recognition. This thesis investigates how the-state-of-the-art deep learning …

Optical Character Recognition helps to easily conversion of typed, printed, or handwritten
text images into editable and searchable data. Working on optical Character recognition is …

One of the most challenges that face machine learning is handwritten recognition, especially
Arabic scripts, because many styles found for Arabic font. In this paper, an investigation …

The Amharic language is widely spoken in Ethiopia by over 31.8 million people as their
mother tongue, and an additional 25 million as second-language speakers. It is also used to …

Amharic (Amarñña: አማርኛ) is the official language of the Federal Government of Ethiopia,
with more than 27 million speakers. But it is a low-resourced language, and only a few …

Aim: The study aims to identify or recognize the alphabets using neural networks and fuzzy
classifier/logic. Methods and materials: Neural network and fuzzy classifier are used for …