Title :
Cooperative text and line-art extraction from a topographic map
Author :
Li, Luyang ; Nagy, George ; Samal, Ashok ; Seth, Sharad ; Xu, Yihong
Author_Institution :
Panasonic Inf. & Networking Lab., Princeton, NY, USA
Abstract :
The black layer is digitized from a USGS topographic map digitized at 1000 dpi. The connected components of this layer are analyzed and separated into line art, text, and icons in two passes. The paired street casings are converted to polylines by vectorization and associated with street labels from the character recognition phase. The accuracy of character recognition is shown to improve by taking account of the frequently occurring overlap of line art with street labels. The experiments show that complete vectorization of the black line-layer bitmap is the major remaining problem
Keywords :
cartography; document image processing; optical character recognition; USGS; black line-layer bitmap; character recognition; experiments; icons; line-art extraction; polylines; street labels; text extraction; topographic map; vectorization; Art; Character recognition; Data mining; Electrical capacitance tomography; Graphics; Information resources; Laboratories; Read only memory; Roads; Text recognition;
Conference_Titel :
Document Analysis and Recognition, 1999. ICDAR '99. Proceedings of the Fifth International Conference on
Conference_Location :
Bangalore
Print_ISBN :
0-7695-0318-7
DOI :
10.1109/ICDAR.1999.791826