Title :
Skewscope: the textual document skew detector
Author :
Yuan, Bo ; Tan, Chew Lim
Author_Institution :
Comput. Sci. Dept., Singapore Nat. Univ., Kent Ridge Crescent, Singapore
Abstract :
Skewscope is a software module designed to detect and analyze skew information of textual document images. Its skew detection algorithm, which is the major topic of this paper, directly computes the slopes of all unique pairs of components and draws skew information from their distribution profile. Its validity is examined by using the complete set of University of Washington English Document Image Database I as ground truth. Its utilization of both the foreground and the background components is also discussed.
Keywords :
document image processing; Java programming language; Skewscope; University of Washington English Document Image Database I; background components; component filtering; distribution profile; foreground components; rotation angles; skew angles; skew detection algorithm; slope calculation; straight text lines; textual document images; textual document skew detector; Band pass filters; Computer science; Data analysis; Detection algorithms; Detectors; Image analysis; Information analysis; Pixel; Software design; Velocity measurement;
Conference_Titel :
Document Analysis and Recognition, 2003. Proceedings. Seventh International Conference on
Print_ISBN :
0-7695-1960-1
DOI :
10.1109/ICDAR.2003.1227626
