TY - GEN
T1 - A robust method for unknown forms analysis
AU - Li, Xingyuan
AU - Doermann, David
AU - Oh, Weon Geun
AU - Gao, Wen
N1 - Publisher Copyright:
© 1999 IEEE.
PY - 1999
Y1 - 1999
N2 - This paper proposes a strategy for analyzing unknown, filled forms. First, horizontal and vertical line segments are detected, extracted and filtered. A recursive splitting and merging algorithm eliminates overlapping segments, filters false segments, and groups the segments into lines. Based on the extracted lines, an algorithm for rectangle extraction is proposed. We define the constraints between rectangles and edges. In a process of scanning the horizontal and vertical lines, candidate edges are validated and rectangles are generated if its surrounding edges and their combination are all valid. The process is recursively applied. It can tolerate large breaks in form lines, ignore irrelevant segments and deal with embedded rectangles. Experiments on a collection of forms show that our approach works well on poor quality images.
AB - This paper proposes a strategy for analyzing unknown, filled forms. First, horizontal and vertical line segments are detected, extracted and filtered. A recursive splitting and merging algorithm eliminates overlapping segments, filters false segments, and groups the segments into lines. Based on the extracted lines, an algorithm for rectangle extraction is proposed. We define the constraints between rectangles and edges. In a process of scanning the horizontal and vertical lines, candidate edges are validated and rectangles are generated if its surrounding edges and their combination are all valid. The process is recursively applied. It can tolerate large breaks in form lines, ignore irrelevant segments and deal with embedded rectangles. Experiments on a collection of forms show that our approach works well on poor quality images.
UR - https://www.scopus.com/pages/publications/84906877510
U2 - 10.1109/ICDAR.1999.791842
DO - 10.1109/ICDAR.1999.791842
M3 - Conference contribution
AN - SCOPUS:84906877510
T3 - Proceedings of the International Conference on Document Analysis and Recognition, ICDAR
SP - 535
EP - 538
BT - Proceedings of the 5th International Conference on Document Analysis and Recognition, ICDAR 1999
PB - IEEE Computer Society
T2 - 5th International Conference on Document Analysis and Recognition, ICDAR 1999
Y2 - 20 September 1999 through 22 September 1999
ER -