Price: $109.99
(as of Jan 02,2025 01:27:43 UTC – Details)
Publisher : Springer; 1st ed. 2020 edition (February 7, 2020)
Language : English
Hardcover : 126 pages
ISBN-10 : 9811512965
ISBN-13 : 978-9811512964
Item Weight : 1 pounds
Dimensions : 6.3 x 0.51 x 9.49 inches
Cursive script text recognition in natural scene images poses several challenges, especially when it comes to Arabic text. Arabic is a complex language with a unique script that is written from right to left and has many ligatures and diacritics.
One of the main challenges in recognizing Arabic cursive script text in natural scene images is the presence of ligatures. Ligatures are combinations of two or more letters that are written as a single connected glyph. These ligatures can vary in shape and size, making it difficult for optical character recognition (OCR) systems to accurately identify them.
Another complexity in Arabic text recognition is the presence of diacritics. Diacritics are small marks that are used to indicate vowels and other phonetic information in Arabic script. These diacritics can be easily missed or misinterpreted by OCR systems, leading to errors in text recognition.
Furthermore, the cursive nature of Arabic script can also pose challenges for OCR systems, as the letters in a word are often connected in a continuous flow. This can make it difficult to accurately segment and recognize individual letters in a word.
Despite these challenges, advances in deep learning and computer vision techniques have led to improvements in Arabic text recognition in natural scene images. Researchers continue to work on developing more accurate and robust OCR systems that can effectively recognize cursive script text in Arabic and other languages.
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