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Using Complex Networks for Offline Handwritten Signature Characterization
[chapter]
2014
Lecture Notes in Computer Science
This paper develops a novel way for offline handwritten signature characterization using a complex networks approach in order to apply for signature verification and identification process. Complex networks can be considered among the areas of graph theory and statistical mechanics. They are suitable for shape recognition due to their properties as invariance to rotation, scale, thickness and noise. Offline signatures images were pre-processed to obtain a skeletonized version. This is
doi:10.1007/978-3-319-12568-8_71
fatcat:nopsdi2qg5h5fhonzj7iazfzka