Document Analysis in Gray Level and Typography Extraction Using Character Pattern Redundancies
ICDAR '99 Proceedings of the Fifth International Conference on Document Analysis and Recognition
A hybrid opto-electronic method for fast off-line handwritten signature verification
International Journal on Document Analysis and Recognition
ICIAR'06 Proceedings of the Third international conference on Image Analysis and Recognition - Volume Part II
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This paper presents a new segmentation free approach of partial similarities retrieval in ancient handwritten documents. The method has been developed to improve usual handwritings compression approaches that are not adapted to patrimonial images specificities. We present here the similarities characterization that lies on oriented handwriting shapes decomposition. The frequencies page decomposition realizes a pavement of handwritten regions stored in directional maps where partial similarities are estimated. This decomposition is obtained by a frequencies analysis implying Gabor bank filters with an adequate parameter setting based on the most significant directions of the text. For each map, we compute a similarity graph that reveals redundant shapes and determines a resulting redundancy rate. The resulting graph is the first part of the compression system currently under development.