Abstract.
This paper proposes a document image analysis system that extracts newspaper headlines from microfilm images with a view to providing automatic indexing for news articles in microfilm. A major challenge in achieving this is the poor image quality of microfilm as most images are usually inadequately illuminated and considerably dirty. To overcome the problem we propose a new effective method for separating characters from noisy background since conventional threshold selection techniques are inadequate to deal with this kind of image. A run length smoothing algorithm is then applied to the headline extraction. Experimental results confirm the validity of the approach.
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Received: 15 November 2002, Accepted: 19 May 2003, Published online: 30 January 2004
Correspondence to: Chew Lim Tan
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Tan, C.L., Liu, Q.H. Extraction of newspaper headlines from microfilm for automatic indexing. IJDAR 6, 201–210 (2003). https://doi.org/10.1007/s10032-003-0111-2
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DOI: https://doi.org/10.1007/s10032-003-0111-2