Writer Identification from Gray Level Distribution
ICDAR '03 Proceedings of the Seventh International Conference on Document Analysis and Recognition - Volume 2
Writer Identification based on the fractal construction of a reference base
ICDAR '03 Proceedings of the Seventh International Conference on Document Analysis and Recognition - Volume 2
Synthesis for handwriting analysis
Pattern Recognition Letters - Special issue: In memoriam Azriel Rosenfeld
A writer identification system for on-line whiteboard data
Pattern Recognition
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In this paper we propose a new approach that allows authenticating a writer. To achieve this goal the autosimilarity properties in writings are used, that is to say we are extracting some invariant pieces of the writing, invariant patterns that are characterizing the texts of a writer. From a practical point of view, these invariant shapes are determined by adaptation of techniques that have been developed in the fractal compression process. During a learning phase the invariant patterns are extracted and in a second step they are used as a referencebase in order to analyze an unknown writing. The results of the analysis are quantified by measurement of the quality of a compression/decompression process elaborated using the reference base associated with different.