@inproceedings{c0b9ae346af347c49d04666dfd030fe5,
title = "An adaptive line segmentation algorithm (ALSA) for Arabic",
abstract = "A technique for the segmentation of document images into lines is presented. The technique computes the needed thresholds from image statistics. Hence, it readily adapts itself to different types of images. The method is tested using 100 images taken from printed, handwritten and historical manuscript categories of text. The results were subjectively evaluated. Its average performance is viewed to be from very good to excellent depending on the category type.",
keywords = "Arabic text, Document analysis, Historical manuscript, Line segmentation",
author = "Elarian, \{Y. S.\} and Mahmoud, \{S. A.\}",
year = "2008",
language = "English",
isbn = "1601320787",
series = "Proceedings of the 2008 International Conference on Image Processing, Computer Vision, and Pattern Recognition, IPCV 2008",
pages = "735--739",
booktitle = "Proceedings of the 2008 International Conference on Image Processing, Computer Vision, and Pattern Recognition, IPCV 2008",
}