Correcting geometric and photometric distortion of document images on a smartphone

Christian Simon; Williem; In Kyu Park

doi:10.1117/1.JEI.24.1.013038

26 February 2015 Correcting geometric and photometric distortion of document images on a smartphone

Christian Simon, Williem, In Kyu Park

Author Affiliations +

Funded by: Korea government (MSIP)

Journal of Electronic Imaging, Vol. 24, Issue 1, 013038 (February 2015). https://doi.org/10.1117/1.JEI.24.1.013038

Abstract

A set of document image processing algorithms for improving the optical character recognition (OCR) capability of smartphone applications is presented. The scope of the problem covers the geometric and photometric distortion correction of document images. The proposed framework was developed to satisfy industrial requirements. It is implemented on an off-the-shelf smartphone with limited resources in terms of speed and memory. Geometric distortions, i.e., skew and perspective distortion, are corrected by sending horizontal and vertical vanishing points toward infinity in a downsampled image. Photometric distortion includes image degradation from moiré pattern noise and specular highlights. Moiré pattern noise is removed using low-pass filters with different sizes independently applied to the background and text region. The contrast of the text in a specular highlighted area is enhanced by locally enlarging the intensity difference between the background and text while the noise is suppressed. Intensive experiments indicate that the proposed methods show a consistent and robust performance on a smartphone with a runtime of less than 1 s.

Citation Download Citation

Christian Simon, Williem, and In Kyu Park "Correcting geometric and photometric distortion of document images on a smartphone," Journal of Electronic Imaging 24(1), 013038 (26 February 2015). https://doi.org/10.1117/1.JEI.24.1.013038

Published: 26 February 2015

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

;

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE