DocDig: Content Based Figure Search in Digitized Documents

Pattern recognition is used in many areas, from psychology to biometrics, analysis of gene expressions from
bioinformatics, from traffic to finance calculated. Optical Character Recognition is also one of these areas. Many
public and private firms digitize their archived data and make labor-intensive studies for this purpose. However,
the retrieval and processing of these data, which are digitized as images, is only partially realized by adding

metadata to the manually scanned image data. In this work, we developed an architecture that makes content-
based figure searches possible on these scanned documents in large quantities. The user can search with some

keywords and display related figures in digital documents with their captions. The feasibility and performance of
the system have been tested on different data sets and successful results have been obtained.



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