A holistic methodology for keyword search in historical typewritten documents

Authors:
Basilis Gatos;Thomas Konidaris;Ioannis Pratikakis;Stavros J. Perantonis
Affiliations:
Computational Intelligence Laboratory, Institute of Informatics and Telecommunications, National Research Center "Demokritos", Athens, Greece;Computational Intelligence Laboratory, Institute of Informatics and Telecommunications, National Research Center "Demokritos", Athens, Greece;Computational Intelligence Laboratory, Institute of Informatics and Telecommunications, National Research Center "Demokritos", Athens, Greece;Computational Intelligence Laboratory, Institute of Informatics and Telecommunications, National Research Center "Demokritos", Athens, Greece
Venue:
SETN'06 Proceedings of the 4th Helenic conference on Advances in Artificial Intelligence
Year:
2006

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Abstract

In this paper, we propose a novel holistic methodology for keyword search in historical typewritten documents combining synthetic data and user's feedback. The holistic approach treats the word as a single entity and entails the recognition of the whole word rather than of individual characters. Our aim is to search for keywords typed by the user in a large collection of digitized typewritten historical documents. The proposed method is based on: (i) creation of synthetic image words; (ii) word segmentation using dynamic parameters; (iii) efficient hybrid feature extraction for each image word and (iv) a retrieval procedure that is optimized by user's feedback. Experimental results prove the efficiency of the proposed approach.