TY - GEN
T1 - A Hough based algorithm for extracting text lines in handwritten documents
AU - Likforman-Sulem, L.
AU - Hanimyan, A.
AU - Faure, C.
N1 - Publisher Copyright:
© 1995 IEEE.
PY - 1995/1/1
Y1 - 1995/1/1
N2 - The method herein proposed detects text lines on handwritten pages which may include either lines oriented in several directions, erasures, or annotations between main lines. The method has a hypothesis-validation strategy which is iteratively activated until the end of the segmentation is reached. At each stage of the process, the best text-line hypothesis is generated in the Hough domain. Taking into account the fluctuations of the text-line components. Afterwards, the validity of the line is checked in the image domain using a proximity criteria which analyses the context in which is perceived the alignment hypothesized. Ambiguous components belonging to several text lines are also marked.
AB - The method herein proposed detects text lines on handwritten pages which may include either lines oriented in several directions, erasures, or annotations between main lines. The method has a hypothesis-validation strategy which is iteratively activated until the end of the segmentation is reached. At each stage of the process, the best text-line hypothesis is generated in the Hough domain. Taking into account the fluctuations of the text-line components. Afterwards, the validity of the line is checked in the image domain using a proximity criteria which analyses the context in which is perceived the alignment hypothesized. Ambiguous components belonging to several text lines are also marked.
UR - https://www.scopus.com/pages/publications/85037534335
U2 - 10.1109/ICDAR.1995.602017
DO - 10.1109/ICDAR.1995.602017
M3 - Conference contribution
AN - SCOPUS:85037534335
T3 - Proceedings of the International Conference on Document Analysis and Recognition, ICDAR
SP - 774
EP - 777
BT - Proceedings of the 3rd International Conference on Document Analysis and Recognition, ICDAR 1995
PB - IEEE Computer Society
T2 - 3rd International Conference on Document Analysis and Recognition, ICDAR 1995
Y2 - 14 August 1995 through 16 August 1995
ER -