Historical document image enhancement using background light intensity normalization

Author

Shi, Zhixin ; Govindaraju, Venu

Author_Institution

Center of Excellance for Document Anal. & Recognition, State Univ. of New York, Amherst, MA, USA

Volume

1

fYear

2004

fDate

23-26 Aug. 2004

Firstpage

473

Abstract

This work presents a background light intensity normalization algorithm suitable for historical document images. The algorithm uses an adaptive linear function to approximate the uneven background due to the uneven surface of the document paper, aged color and light source of the cameras for image lifting. Our algorithm adaptively captures the background with a "best fit" linear function and normalized with respect to the approximation. The technique works for both gray scale and color images with significant improvement in readability.

Keywords

document image processing; function approximation; handwriting recognition; image colour analysis; image enhancement; adaptive linear function approximation; background light intensity normalization; camera light source; color images; document image enhancement; gray scale images; handwriting recognition; image lifting; Aging; Algorithm design and analysis; Approximation algorithms; Color; Digital cameras; Digital images; Image enhancement; Image segmentation; Light sources; Optical character recognition software;

fLanguage

English

Publisher

ieee

Conference_Titel

Pattern Recognition, 2004. ICPR 2004. Proceedings of the 17th International Conference on

ISSN

1051-4651

Print_ISBN

0-7695-2128-2

Type

conf

DOI

10.1109/ICPR.2004.1334167

Filename

1334167