Picture Extraction from Digitized Historical Manuscripts

Abstract: In this work we propose a system for automatic document segmentation to extract graphical elements from historical manuscripts and then to identify significant pictures from them, removing floral and abstract decorations. The system performs a block based analysis by means of color and texture features. The Gradient Spatial Dependency Matrix, a new texture operator particularly effective for this task, is proposed. The feature vectors are processed by an embedding procedure which allows increased performance in later SVM classification. Results for both feature extraction and embedding based classification are reported, supporting the effectiveness of the proposal.

Citation:

Grana, Costantino; Borghesani, Daniele; Cucchiara, Rita "Picture Extraction from Digitized Historical Manuscripts" Proceedings of ACM International Conference on Image and Video Retrieval (CIVR2009), Santorini Island, grc, pp. 169 -176 , Jul 8-10, 2009 DOI: 10.1145/1646396.1646426

 not available

Paper download:

• Author version:
• DOI: 10.1145/1646396.1646426