@inproceedings{863fccf4d157448d839cc00cd26db758,
title = "Historical document image enhancement using background light intensity normalization",
abstract = "This paper presents a new background light intensity normalization algorithm suitable for historical document images.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 adoptively 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.",
author = "Zhixin Shi and Venu Govindaraju",
year = "2004",
doi = "10.1109/ICPR.2004.1334167",
language = "English",
isbn = "0769521282",
series = "Proceedings - International Conference on Pattern Recognition",
pages = "473--476",
editor = "J. Kittler and M. Petrou and M. Nixon",
booktitle = "Proceedings of the 17th International Conference on Pattern Recognition, ICPR 2004",
note = "Proceedings of the 17th International Conference on Pattern Recognition, ICPR 2004 ; Conference date: 23-08-2004 Through 26-08-2004",
}