Fractal image compression: theory and application
Fractal image compression: theory and application
Handwritten signature retrieval and identification
Pattern Recognition Letters
Defining Writer's Invariants to Adapt the Recognition Task
ICDAR '99 Proceedings of the Fifth International Conference on Document Analysis and Recognition
A set of handwriting families: style recognition
ICDAR '95 Proceedings of the Third International Conference on Document Analysis and Recognition (Volume 1) - Volume 1
Writers Authentication and Fractal Compression
IWFHR '02 Proceedings of the Eighth International Workshop on Frontiers in Handwriting Recognition (IWFHR'02)
Character Representation and Recognition Using Quadtree-based Fractal Encoding Scheme
ICDAR '05 Proceedings of the Eighth International Conference on Document Analysis and Recognition
A writer identification system for on-line whiteboard data
Pattern Recognition
Application of Fractal Theory for On-Line and Off-Line Farsi Digit Recognition
MLDM '07 Proceedings of the 5th international conference on Machine Learning and Data Mining in Pattern Recognition
Biometric recognition using online uppercase handwritten text
Pattern Recognition
Handwritten signature identification using basic concepts of graph theory
WSEAS Transactions on Signal Processing
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Our aim is to achieve writer identification processthanks to a fractal analysis of handwriting style. For eachwriter, a set of characteristics is extracted. They arespecific to the writer. Advantage is taken from theautosimilarity properties that are present in one'shandwriting. In order to do that, some invariant patternscharacterizing the writing are extracted. During thetraining step these invariant patterns appear along afractal compression process, then they are organized in areference base that can be associated with the writer.This base allows to analyze an unknown writing thewriter of which has to be identified. A Pattern Matchingprocess is performed using all the reference basessuccessively. The results of this analyze are estimatedthrough the signal to noise ratio. Thus, the signal to noiseratio according to a set of bases identifies the unknowntext's writer.