Segmentation and Retrieval of Ancient Graphic Documents

Abstract

AbstractThe 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.KeywordsMinimum Span TreeQuery ImageTexture RegionCBIR SystemSegmented AreaThese keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.