A systematic review on handwritten document analysis and recognition

S Inunganbi - Multimedia Tools and Applications, 2024 - Springer
Abstract Document Analysis and Recognition (DAR) is ongoing research that has been
studied extensively for many decades and it has achieved a substantial level that generates …

Hand-written text recognition methods: Review study

A Odeh, M Odeh, H Odeh, N Odeh - 2022 - digitallibrary.aau.ac.ae
The great and rapid development of information technology, Artificial Intelligent, and its daily
uses in all areas of our life, requires keeping up with distinguished software tools especially …

[Retracted] Optimized CNN‐Based Recognition of District Names of Punjab State in Gurmukhi Script

S Sharma, S Gupta, D Gupta, S Juneja… - Journal of …, 2022 - Wiley Online Library
Automation of Postal systems has the major research scope in the field of automation. To
create Postal Automation set‐up for countries like India is a tedious task if compared with …

Meitei Mayek handwritten dataset: compilation, segmentation, and character recognition

S Inunganbi, P Choudhary, K Manglem - The Visual Computer, 2021 - Springer
Abstract A peculiar Indian Script Meitei Mayek has experienced a resurgence in the last few
years and gets very little attention in handwriting research due to recently insurgence and …

Line and word segmentation of handwritten text document by mid-point detection and gap trailing

I Sanasam, P Choudhary, KM Singh - Multimedia Tools and Applications, 2020 - Springer
This paper presents the text line and word segmentation from unconstrained handwritten
documents based on horizontal projection histogram (HPH) to detect mid-points and gap …

[PDF][PDF] Characters segmentation from Arabic handwritten document images: hybrid approach

OA Boraik, M Ravikumar, MAN Saif - International Journal of …, 2022 - researchgate.net
Character segmentation in Unconstrained Arabic handwriting is a complex and challenging
task due to the overlapping and touching of words or letters. Such issues have not been …

Segmentation of handwritten words using structured support vector machine

MK Sharma, VS Dhaka - Pattern Analysis and Applications, 2020 - Springer
Abstract Words and characters segmentation is a most indispensable and fundamental task
for the handwritten script recognition. However, the complex language structures, deviation …

Heuristic-based text segmentation of bilingual handwritten documents for Gurumukhi-Latin scripts

S Kaur, S Bawa, R Kumar - Multimedia Tools and Applications, 2024 - Springer
This paper focuses on the segmentation of unconstrained handwritten documents
containing bilingual data at the word level. Most of the official documents available in India …

A novel method of text line segmentation for historical document image of the uchen Tibetan

Z Li, W Wang, Y Chen, Y Hao - Journal of Visual Communication and …, 2019 - Elsevier
Text line segmentation is a key step in Tibetan historical document recognition. A novel
method for text line segmentation was proposed based on the baseline in uchen Tibetan …

Different handwritten character recognition methods: a review

AAA Ali, M Suresha, HAM Ahmed - 2019 Global Conference for …, 2019 - ieeexplore.ieee.org
One of the PC related issues that are being looked for and investigated is the means by
which a picture can be perceived and characterized. How PCs can perceive pictures like …