Feature Extraction Based Document Image Processing for OCR

Name: Feature Extraction Based Document Image Processing for OCR
Brand: LAP Lambert Academic Publishing
SKU: 9786202062053
Price: 172.68 RON
Availability: InStock

Autor: Anuj Kumar Parashar, Er Ajeet Kumar

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Editura: LAP Lambert Academic Publishing

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Image processing plays a vital role in document image processing system. For large scale of digitiza...

Informații despre carte

Autor

Anuj Kumar Parashar, Er Ajeet Kumar

Limbă

engleză

Legare

Carte - Carte broșată

Publicat

2017

Pagini

EAN

9786202062053

Enbook ID

18641229

Editura

LAP Lambert Academic Publishing

Greutate

119

Dimensiuni

150 x 220 x 4

Descriere completă

Image processing plays a vital role in document image processing system. For large scale of digitization process, various methods are available to provide an electronic version of a paper document, and scanning of the paper document is one of the best suitable methods. Optical scanning is the new technique applied on an image document, which converts the raw output data to the optical character recognition (OCR) system. Since the computer system cannot understand the language of the written documents, we need to convert these documents into the electronic documents, so that they can easily processed by the computer system. OCR converts the written text documents into the e- documents. In this paper we determine the threshold value of a scanned image document by using global thresholding method, which is based on the otsu's algorithm. On the basis of the threshold values obtain from the different methods, we can judge the quality of an image document and hence can improve the quality of an scanned image document.

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Feature Extraction Based Document Image Processing for OCR

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