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A goal-oriented verification-based approach for target text line extraction from a document image captured by a pen scanner

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2 Author(s)
Zhen-Long Bai ; Dept. of Comput. Sci. & Inf. Syst., Hong Kong Univ., China ; Qiang Huo

We present a goal-oriented verification-based approach for target text line extraction from a document image captured by a pen scanner. Given a binary image, a series of processing steps are invoked adaptively, guided by the text line verification result in the preceding step. Each step adopts a strategy that is most effective for dealing with the problem concerned. Consequently, the target text line can be extracted in a more efficient and reliable way depending on the nature of the captured image. The effectiveness of the above approach is confirmed by a benchmark test.

Published in:

Pattern Recognition, 2004. ICPR 2004. Proceedings of the 17th International Conference on  (Volume:2 )

Date of Conference:

23-26 Aug. 2004