On developing handwritten character image database for Malayalam language script
The objective of this paper is to build a handwritten character image database for Malayalam language script. Standard handwritten document image databases are an essential requirement for the development and objective evaluation of different handwritten
K. Manjusha, M. Anand Kumar, K.P. Soman
exaly +4 more sources
Ranjana Script Handwritten Character Recognition using CNN
This paper proposes a public image database for Ranjana script Handwritten Character Datasets (RHCD), publicly available for Ranjana script researchers or anyone interested in the subject.
Jen Bati, Pankaj Raj Dawadi
doaj +3 more sources
Creating an Atlas over Handwritten Script Signs [PDF]
A framework for interactive visualization of script characteristics, as present in the form of handwritten letters, is proposed in this work. The basic idea behind this investigation is to lay the foundations for creating a comprehensive atlas over ...
Anders Hast +3 more
doaj +2 more sources
Ancient Yi Script Handwriting Sample Repository [PDF]
The ancient Yi script has been used for over 8000 years, which can be ranked with Oracle,Sumerian,Egyptian,Mayan and Harappan,and is one of the six ancient scripts in the world.
Xiaojuan Liu +4 more
doaj +2 more sources
GHCR—A dataset for Grantha handwritten character recognition [PDF]
This dataset presents a comprehensive collection of handwritten Grantha characters, comprising numbers and vowels, gathered from participants spanning diverse age groups.
Basaraboyina Yohoshiva +1 more
doaj +2 more sources
Improved Classification of Handwritten Jawi Script Based on Main Part of Script Body
Since the entry of Islam, many ancient relics in the archipelago were written using Jawi script. Due to human or natural factors, these ancient relics will be damaged or destroyed.
Safrizal Razali +4 more
doaj +3 more sources
HCCD: A handwritten camera-captured dataset for document enhancement under varied degradation conditionsMendeley Data [PDF]
Enhancing degraded handwritten documents captured with smartphone cameras remains a significant challenge in document analysis. Although deep learning-based enhancement techniques have shown promise, the performance of deep learning models largely relies
K.S. Koushik +2 more
doaj +2 more sources
Identification of Devnagari and Roman Scripts from Multi-script Handwritten Documents [PDF]
In a multilingual country like India it is a common scenario that a handwritten text document may contain more than one script. This causes practical difficulty in digitizing such a document, because the language type of the text should be pre-determined, before feeding it into a suitable Optical Character Recognition (OCR) system.
Pawan Kumar Singh +2 more
exaly +2 more sources
Recognition of handwritten Latin characters with diacritics using CNN [PDF]
Convolutional Neural Networks (CNN) have achieved huge popularity in solving problems in image analysis and in text recognition. In this work, we assess the effectiveness of CNN-based architectures where a network is trained in recognizing handwritten ...
Edyta Lukasik +6 more
doaj +1 more source
A multi-purpose dataset of Devanagari script comprising of isolated numerals and vowels
This article presents handwritten isolated characters of the Devanagari script. Devanagari script contains ten numerals, 13 vowels, and 33 consonants. Devanagari Character dataset includes 23 different characters of numerals and vowels.
Duddela Sai Prashanth +2 more
doaj +1 more source

