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An advanced, robust binarization and character recognition in document images based on raspberry Pi


Article Information

Title: An advanced, robust binarization and character recognition in document images based on raspberry Pi

Authors: Anitta Vincent, Gincy Varghese

Journal: ARPN Journal of Engineering and Applied Sciences

HEC Recognition History
Category From To
Y 2023-07-01 2024-09-30
Y 2022-07-01 2023-06-30
Y 2021-07-01 2022-06-30
X 2020-07-01 2021-06-30

Publisher: Khyber Medical College, Peshawar

Country: Pakistan

Year: 2015

Volume: 10

Issue: 17

Language: English

Categories

Abstract

Digitization is a major scenario through which transactions and information sharing occur very fast. The notion of ‘paperless office’ is gradually coming into existence. Besides, there are a plethora of treasured documents which need to be safeguarded. In such a plot, an adequate system for reclamation and digital conservation of documents becomes indispensable. Here, a robust system for binarization and character recognition of deteriorated document images is proposed. Segmentation of text from deteriorated document images is a very tough task due to the high variation within and between the document background and the foreground text in different document images. The binarization technique employed here is a novel technique which utilizes a modified adaptive image contrast based method. This method can tolerate non-uniform background and various artifacts that creep in. Next step is the image segmentation, followed by character recognition using Artificial Neural Network. The entire system is implemented on a low cost minicomputer board named Raspberry Pi.


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