@inproceedings{c3289484a74e4e7db20fc99b6ef60bad,
title = "Line segmentation approach for ancient palm leaf manuscripts using competitive learning algorithm",
abstract = "Line segmentation is very crucial in handwritten text recognition/analysis task. A new text line extraction scheme based on a data clustering algorithm is proposed. Our approach starts by determining the number of lines and setting up text line mid points' initial positions using a modified piece-wise projection profile technique. We apply afterwards competitive learning algorithm to adaptively move those mid points according to the geometrical information of connected components in the document page to form lines. Borders between text lines are defined so that they can be used to separate touching components that spread over multiple lines. The proposed method is robust in handling documents with skewed, fluctuated, or discontinued text lines. Experimental evaluations were made on a data set of Khmer ancient palm leaf manuscripts.",
keywords = "Competitive learning algorithm, Handwritten document analysis, Text line segmentation",
author = "Dona Valy and Michel Verleysen and Kimheng Sok",
year = "2016",
month = jul,
day = "2",
doi = "10.1109/ICFHR.2016.0032",
language = "English",
series = "Proceedings of International Conference on Frontiers in Handwriting Recognition, ICFHR",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "108--113",
booktitle = "Proceedings - 2016 15th International Conference on Frontiers in Handwriting Recognition, ICFHR 2016",
address = "United States",
note = "15th International Conference on Frontiers in Handwriting Recognition, ICFHR 2016 ; Conference date: 23-10-2016 Through 26-10-2016",
}