Skip to content

Opening book details…

Can I read Cursive script text recognition in natural scence images : Arabic text complexities on EtoBox?

Cursive script text recognition in natural scence images : Arabic text complexities by Saad Bin Ahmed; Muhammad Imran Razzak; Rubiyah Yusof; SpringerLink (Online service) is a computer science book available to read on EtoBox.

What is Cursive script text recognition in natural scence images : Arabic text complexities about?

This book offers a broad and structured overview of the state-of-the-art methods that could be applied for context-dependent languages like Arabic. It also provides guidelines on how to deal with Arabic scene data that appeared in an uncontrolled environment impacted by different font size, font styles, image resolution, and opacity of text. Being an intrinsic script, Arabic and Arabic-like languages attract attention from research community. There are a number of challenges associated with the

Who reads Cursive script text recognition in natural scence images : Arabic text complexities?

It is typically read by working professionals who need an authoritative practice reference.

Common subject areas: medicine, law, business, engineering.

Author
Saad Bin Ahmed; Muhammad Imran Razzak; Rubiyah Yusof; SpringerLink (Online service)
Publisher
Springer Nature Singapore Pte Ltd Fka Springer Science + Business Media Singapore Pte Ltd
Published
2020
Language
EN
ISBN
9789811512995
Category
computer science
Subjects
Science, Technology, Mathematics
Updated
2026-03-25

More by Saad Bin Ahmed; Muhammad Imran Razzak; Rubiyah Yusof; SpringerLink (Online service)

Browse all works by Saad Bin Ahmed; Muhammad Imran Razzak; Rubiyah Yusof; SpringerLink (Online service)

Similar books