Optical character recognition (OCR) is the process of extracting handwritten or printed text
from a scanned or printed image and converting it to a machine-readable form for further …

Smart cities provide an efficient infrastructure for the enhancement of the quality of life of the
people by aiding in fast urbanization and resource management through sustainable and …

Handwriting recognition is a multi-step process that includes data collection, preprocessing,
feature extraction, and classification in order to create a final prediction. This process …

Handwriting text recognition for computer systems has been the subject of more and more
research. Recognition of Arabic handwritten text is always an ongoing challenge, mainly …

Handwriting recognition still considered a difficult problem statement. In this paper, we
present a new database containing educational vocabulary written by adolescent's learners …

Due to the increasing applications of surveillance and monitoring such as person re-
identification, vehicle re-identification and sports events tracking, the necessity of text …

Spelling errors in textual content may significantly hinder communication and
comprehension, particularly in formal writing, such as news or reports. Thus, it becomes …

This work introduces the BRESSAY dataset, a novel contribution to the field of offline
Handwritten Text Recognition (HTR), specifically targeting Brazilian Portuguese. Despite …

Abstract is one of the most important data sources in social data analysis. However, the text
contained on Twitter is often unstructured, resulting in difficulties in collecting standard …

The outbreak of war and the earlier and ongoing COVID-19 pandemic determined the need
for real-time monitoring of economic activity. The economic activity of a country can be …