TY - GEN
T1 - A line drawings degradation model for performance characterization
AU - Zhai, Jian
AU - Wenyin, Liu
AU - Dori, Dov
AU - Li, Qing
PY - 2003/1/1
Y1 - 2003/1/1
N2 - Line detection algorithms constitute the basis for technical document analysis and recognition. The performance of these algorithms decreases as the quality of the documents degrades. To test the robustness of line detection algorithms under noisy circumstance, we propose a document degradation mode, which simulates noise types that drawings may undergo during their production, storage, photocopying, or scanning. Using our model, a series of document images at various noise levels and types can be generated for testing the performance of line detection algorithms. To illustrate that our model is consistent with real world noise types, we validated the method by applying it to three line recognition algorithms.
AB - Line detection algorithms constitute the basis for technical document analysis and recognition. The performance of these algorithms decreases as the quality of the documents degrades. To test the robustness of line detection algorithms under noisy circumstance, we propose a document degradation mode, which simulates noise types that drawings may undergo during their production, storage, photocopying, or scanning. Using our model, a series of document images at various noise levels and types can be generated for testing the performance of line detection algorithms. To illustrate that our model is consistent with real world noise types, we validated the method by applying it to three line recognition algorithms.
UR - http://www.scopus.com/inward/record.url?scp=33748997222&partnerID=8YFLogxK
U2 - 10.1109/ICDAR.2003.1227813
DO - 10.1109/ICDAR.2003.1227813
M3 - Conference article published in proceeding or book
AN - SCOPUS:33748997222
T3 - Proceedings of the International Conference on Document Analysis and Recognition, ICDAR
SP - 1020
EP - 1024
BT - Proceedings - 7th International Conference on Document Analysis and Recognition, ICDAR 2003
PB - IEEE Computer Society
T2 - 7th International Conference on Document Analysis and Recognition, ICDAR 2003
Y2 - 3 August 2003 through 6 August 2003
ER -