Abstract
The restoration and preservation of ancient documents is becoming an interesting application in document image analysis. This paper introduces a novel approach aimed at segmenting the graphical part in historical heritage called lettrine and extracting its signatures in order to develop a Content-Based Image Retrieval (CBIR) system. The research principle is established on the concept of invariant texture analysis (Co-occurrence and Run-length matrices, Autocorrelation function and Wold decomposition) and signature extraction (Mininum Spanning Tree and Pairwise Geometric Attributes). The experimental results are presented by highlighting difficulties related to the nature of strokes and textures in lettrine. The signatures extracted from segmented areas of interest are informative enough to gain a reliable CBIR system.
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Uttama, S., Loonis, P., Delalandre, M., Ogier, JM. (2006). Segmentation and Retrieval of Ancient Graphic Documents. In: Liu, W., Lladós, J. (eds) Graphics Recognition. Ten Years Review and Future Perspectives. GREC 2005. Lecture Notes in Computer Science, vol 3926. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11767978_8
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DOI: https://doi.org/10.1007/11767978_8
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