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An algorithm based on visual perception for handwriting comparison

Abstract : We propose an algorithm based on a model of visual perception that is meant to reflect the human judgment about the similarity of handwritten samples. The algorithm builds upon the Fuzzy Feature Contrast model and proposes an implementation of such a model in the domain of handwriting. The algorithm has been validated on the RIMES dataset, by comparing its performance with those of a panel of human experts. The experimental results show that the performance of the proposed algorithm is almost indistinguishable from the expert one and therefore may be a viable tool for handwriting comparison.
Keywords : handwriting algorithm
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Conference papers
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Submitted on : Saturday, June 20, 2015 - 12:41:03 AM
Last modification on : Monday, October 19, 2020 - 8:02:03 PM
Long-term archiving on: : Tuesday, September 15, 2015 - 7:46:08 PM


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  • HAL Id : hal-01165766, version 1



Antonio Parziale, Stanislao Davino, Angelo Marcelli. An algorithm based on visual perception for handwriting comparison. 17th Biennial Conference of the International Graphonomics Society, International Graphonomics Society (IGS); Université des Antilles (UA), Jun 2015, Pointe-à-Pitre, Guadeloupe. ⟨hal-01165766⟩



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