It takes the average reader 1 hour and 51 minutes to read Cursive Script Text Recognition in Natural Scene Images by Saad Bin Ahmed
Assuming a reading speed of 250 words per minute. Learn more
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 detection and recognition of Arabic text from natural images. This book discusses these challenges...
Cursive Script Text Recognition in Natural Scene Images by Saad Bin Ahmed is 111 pages long, and a total of 27,861 words.
This makes it 37% the length of the average book. It also has 34% more words than the average book.
The average oral reading speed is 183 words per minute. This means it takes 2 hours and 32 minutes to read Cursive Script Text Recognition in Natural Scene Images aloud.
Cursive Script Text Recognition in Natural Scene Images is suitable for students ages 10 and up.
Note that there may be other factors that effect this rating besides length that are not factored in on this page. This may include things like complex language or sensitive topics not suitable for students of certain ages.
When deciding what to show young students always use your best judgement and consult a professional.
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