Please use this identifier to cite or link to this item: https://doi.org/10.1007/s10032-003-0111-2
Title: Extraction of newspaper headlines from microfilm for automatic indexing
Authors: Tan, C.L. 
Liu, Q.H.
Keywords: Headline extraction
Histogram transformation
Noise reduction
Run length smoothing
Issue Date: 2003
Citation: Tan, C.L.,Liu, Q.H. (2003). Extraction of newspaper headlines from microfilm for automatic indexing. International Journal on Document Analysis and Recognition 6 (3) : 201-210. ScholarBank@NUS Repository. https://doi.org/10.1007/s10032-003-0111-2
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. © Springer-Verlag 2004.
Source Title: International Journal on Document Analysis and Recognition
URI: http://scholarbank.nus.edu.sg/handle/10635/77860
ISSN: 14332833
DOI: 10.1007/s10032-003-0111-2
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