Recognizing handwritten text is a challenging task, especially for scripts with numerous
alphabets and symbols. The Ethiopic script has a vast character set and is used for historical …

In this paper, we introduce an end-to-end Amharic text-line image recognition approach
based on recurrent neural networks. Amharic is an indigenous Ethiopic script which follows …

Industry 4.0, a term invented by Wolfgang Wahlster in Germany, is celebrating its 10th
anniversary in 2021. Still, the digitalization of the production environment is one of the …

ABSTRACT Tamizhi (Tamil-Brahmi) script is one of the oldest scripts in India from which
most of the modern Indian scripts are evolved. The ancient historical documents are …

Amharic stands as the second most widely spoken Semitic language globally, trailing only
Arabic. As a result, it is a highly resourceful language for hardcopy-document collection, and …

In this paper, we propose a blended Attention-Connectionist Temporal Classification (CTC)
network architecture for a unique script, Amharic, text-image recognition. Amharic is an …

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 …

Despite the historical significance of the Ge'ez script, there is a notable scarcity of studies on
Ge'ez digit recognition, compounded by the challenges posed by the absence of publicly …

Ge'ez has been used in Ethiopian churches for centuries to read and interpret the Bible. As a
part of the liturgy and religious ceremonies, it is also utilized in prayer and chanting. Since …

Ethiopic scripts are widely used in Ethiopia by acting as a writing script in many languages.
In the scripts, there is a shape similarity of characters and an abundant number of letters in …