Image enhancement for text extraction on mobile application

Fiona, Kandou. (2015) Image enhancement for text extraction on mobile application. [Final Year Project Report] (Unpublished)

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Abstract

Images are captured using a mobile phone camera would create 2D image variants, such as uneven lighting, cluttered background and text-like object. Pre-processing of images aim to reduce the noise in the image. In this project, a mobile application on image enhancement is developed. The application uses a combination of Otsu's Threshold binarization and colour clustering method is proposed to separate the text from the background. Text in images often has a higher intensity or lower intensity than the background. Otsu's binarization is used to convert the image to binary image for a higher contrast between the text and background. However, Otsu's binarization cannot distinguish between different colour pixels that have the similar illumination. Colour clustering is used in conjunction to binarization method as it is able to differentiate the different colour pixels hence eliminating the problem of Otsu's binarization method.

Item Type: Final Year Project Report
Additional Information: Project Report (B.Sc.) -- Universiti Malaysia Sarawak, 2015.
Uncontrolled Keywords: Image enhancement, text extraction, mobile application
Subjects: Q Science > QA Mathematics > QA76 Computer software
Divisions: Academic Faculties, Institutes and Centres > Faculty of Computer Science and Information Technology
Depositing User: Unai
Date Deposited: 07 Sep 2022 03:15
Last Modified: 07 Sep 2022 03:15
URI: http://ir.unimas.my/id/eprint/39562

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