Camera-based document image mosaicing using LLAH

Tomohiro Nakai; Koichi Kise; Masakazu Iwamura

doi:10.1117/12.805949

19 January 2009 Camera-based document image mosaicing using LLAH

Tomohiro Nakai, Koichi Kise, Masakazu Iwamura

Proceedings Volume 7247, Document Recognition and Retrieval XVI; 72470O (2009) https://doi.org/10.1117/12.805949
Event: IS&T/SPIE Electronic Imaging, 2009, San Jose, California, United States

Abstract

In this paper we propose a mosaicing method of camera-captured document images. Since document images captured using digital cameras suffer from perspective distortion, their alignment is a diffcult task for previous methods. In the proposed method, correspondences of feature points are calculated using an image retrieval method LLAH. Document images are aligned using a perspective transformation parameter estimated from the correspondences. Since LLAH is invariant to perspective distortion, feature points can be matched without compensation of perspective distortion. Experimental results show that document images captured by a digital camera can be stitched using the proposed method.

Citation Download Citation

Tomohiro Nakai, Koichi Kise, and Masakazu Iwamura "Camera-based document image mosaicing using LLAH", Proc. SPIE 7247, Document Recognition and Retrieval XVI, 72470O (19 January 2009); https://doi.org/10.1117/12.805949

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

Includes PDF, HTML & Video, when available