Ethiopic Characters Recognition Model using Deep Learning
R Malhotra, MT Addis - 2022 - researchsquare.com
Purpose:-Many approaches have been developed to recognize different writing scripts, most
of which focus on Latin scripts. However, in the Ethiopic script unavailability of readymade …
of which focus on Latin scripts. However, in the Ethiopic script unavailability of readymade …
Ethiopic Characters Recognition Model using Deep Learning
MT Addis - 2022 - europepmc.org
Purpose:-Many approaches have been developed to recognize different writing scripts, most
of which focus on Latin scripts. However, in the Ethiopic script unavailability of readymade …
of which focus on Latin scripts. However, in the Ethiopic script unavailability of readymade …
Ancient Ethiopic Manuscript Recognition Using Deep Learning Artificial Neural Network
SG Endalamaw - 2016 - thesisbank.jhia.ac.ke
The recognition of handwritten documents, which aims at transforming written text into
machine encoded text, is considered as one of the most challenging problems in the area of …
machine encoded text, is considered as one of the most challenging problems in the area of …
Ancient Geez script recognition using deep learning
FA Demilew, B Sekeroglu - SN Applied Sciences, 2019 - Springer
Handwritten text recognition is one of the most valuable recognition systems because of the
unique characteristics of each person's handwriting. Thus, recognition systems need to be …
unique characteristics of each person's handwriting. Thus, recognition systems need to be …
[PDF][PDF] Recognition of Urdu Handwritten Alphabet Using Convolutional Neural Network (CNN).
Handwritten character recognition systems are used in every field of life nowadays,
including shopping malls, banks, educational institutes, etc. Urdu is the national language of …
including shopping malls, banks, educational institutes, etc. Urdu is the national language of …
Handwritten amharic character recognition using a convolutional neural network
MS Gondere, L Schmidt-Thieme, AS Boltena… - arXiv preprint arXiv …, 2019 - arxiv.org
Amharic is the official language of the Federal Democratic Republic of Ethiopia. There are
lots of historic Amharic and Ethiopic handwritten documents addressing various relevant …
lots of historic Amharic and Ethiopic handwritten documents addressing various relevant …
RATNet: A deep learning model for Bengali handwritten characters recognition
The Bengali language is based on a set of symbols for basic characters, modifiers,
compound characters, and numerals. The recognition rates of handwritten basic characters …
compound characters, and numerals. The recognition rates of handwritten basic characters …
End-to-end historical handwritten ethiopic text recognition using deep learning
R Malhotra, MT Addis - IEEE Access, 2023 - ieeexplore.ieee.org
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 …
alphabets and symbols. The Ethiopic script has a vast character set and is used for historical …
Persian handwritten digit, character and word recognition using deep learning
In spite of various applications of digit, letter and word recognition, only a few studies have
dealt with Persian scripts. In this paper, deep neural networks are utilized through different …
dealt with Persian scripts. In this paper, deep neural networks are utilized through different …
DigiNet: Prediction of Assamese handwritten digits using convolutional neural network
P Dutta, NB Muppalaneni - Concurrency and computation …, 2021 - Wiley Online Library
Numerous work focusing on Indian Languages for automatically recognizing characters has
been witnessed in literature in the last few decades. But it was observed that only a handful …
been witnessed in literature in the last few decades. But it was observed that only a handful …