Script Recognition System for Camera-Based Multilingual Document Images

Satishkumar Mallappa

$70.95 $60.68

Paperback

Not in-store but you can order this
How long will it take?

Availability Information

We source books from suppliers in Australia and overseas. For books we don't currently have in stock, the time it takes to get them from our suppliers can vary widely - from a few days to a few months - so we check each book with each supplier to determine the expected time it will take to be supplied to us.

We then advise you accordingly. If the time taken to get any book is too long for you, you can let us know and we will cancel or adjust your order, and refund as required.

To find out the anticipated arrival time for specific items prior to ordering, please contact us by phone or email:

Phone +61 2 9264 3111, or 1800 4 BOOKS (1800 4 26657) if outside Sydney:
option 1 Abbey's Bookshop (Crime, History, Science, Kids & more) • info@abbeys.com.au
option 2 Language Book Centre (ESL & Foreign Languages) • language@abbeys.com.au
option 3 Galaxy Bookshop (Sci-fi, Fantasy, Romance, Graphic Novels) • sf@galaxybooks.com.au

QTY:

English

Mohammed Abdul Sattar
13 March 2024

Pattern recognition; Computer vision; Image processing

Summary
Details

Text is one of the greatest inventions of humankind it has a vital role in human's lives starting from ancient times. The rich and meaningful information lies in the text, and it is the crucial element in the development of computer-vision applications. The text is a symbolic representation of any language known as script. It is necessary to identify the script from the document image to develop an Optical Character Recognition (OCR) system. For processing the document image, it is essential to locate the script in the document and identify the script to decide the appropriate OCR system to recognize. Once the computer successfully recognizes the underlying script of the document, then the task like editing, searching, indexing etc. can be performed on the document image.

Traditionally, the documents are scanned by ﬂat-bed scanners. The trend has gradually moved from the scanner to digital cameras with high-resolution lenses used to capture the document. The camera has advantages over the traditional scanner in a lightweight, small in size, ability to capture the seen text, boards displayed on the roads, vehicle numbers etc. and document can be captured without touching the hard copy, and capturing too fragile documents. The camera captured documents have some challenging problems like uneven illumination, blur, shadow, perspective distortion, out of focus, and many more.

The script identiﬁcation system is an important area in document image analysis. This has broadly categorized as printed or handwritten text from document images. Till date, many algorithms have been presented in the literature to perform this task for a speciﬁc language, and such OCRs will not work for a document containing more than one script. Hence script identiﬁcation is crucial for the automatic processing of textual documents in multi-lingual information management. Identiﬁcation of the script in document image is the primary steps towards processing the multi-lingual documents. It is necessary to identify the scripts of a multi-lingual document before submitting them to the appropriate OCR system.

By: Satishkumar Mallappa
Imprint: Mohammed Abdul Sattar
Dimensions: Height: 279mm, Width: 216mm, Spine: 8mm
Weight: 372g
ISBN: 9798224029655
Pages: 154
Publication Date: 13 March 2024
Audience: General/trade , ELT Advanced
Format: Paperback
Publisher's Status: Active