Cleaning and enhancing historical document images

Authors:
Ergina Kavallieratou;Hera Antonopoulou
Affiliations:
Department of Information and Communication Systems Engineering, University of The Aegean, Karlovassi, Samou, Greece;Computer Technology Institute, Patras, Greece
Venue:
ACIVS'05 Proceedings of the 7th international conference on Advanced Concepts for Intelligent Vision Systems
Year:
2005

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Abstract

In this paper we present a recursive algorithm for the cleaning and the enhancing of historical documents. Most of the algorithms, used to clean and enhance documents or transform them to binary images, implement combinations of complicated image processing techniques which increase the computational cost and complexity. Our algorithm simplifies the procedure by taking into account special characteristics of the document images. Moreover, the fact that the algorithm consists of iterated steps, makes it more flexible concerning the needs of the user. At the experimental results, comparison with other methods is provided.