Abstract
Web-based technology disseminates and stores abundant information electronically. Today, people is more comfortable to use document in Portable Document Format (PDF) because of its operating system independent. However, information on PDF document which in read-only mode are applicable only for human reader. In addition, PDF consists of non-tagged internal structure which make the extraction task difficult. Automatically details analyzing and recognizing of PDF document structures especially paragraph and tabular area is vital for extracting relevant information precisely for use in other domain applications. A combination of heuristic and rule-based approach is proposed to automatically identify and recognize the structure of PDF document. An experimental study has been conducted using a collection of construction tender documents in PDF to test the performance of the proposed approach. The accuracies of precision, recall and f-measures have shown significant results when detecting tabular and paragraph structure.
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Mohemad, R., Hamdan, A.R., Ali Othman, Z., Mohamad Noor, N.M. (2011). Automatic Recognition of Document Structure from PDF Files. In: Zain, J.M., Wan Mohd, W.M.b., El-Qawasmeh, E. (eds) Software Engineering and Computer Systems. ICSECS 2011. Communications in Computer and Information Science, vol 181. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-22203-0_24
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DOI: https://doi.org/10.1007/978-3-642-22203-0_24
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