untitled
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<identifier>oai:HAL:hal-01165766v1</identifier>
<datestamp>2015-06-22</datestamp>
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<setSpec>subject:info</setSpec>
<setSpec>collection:UNIV-AG</setSpec>
<setSpec>collection:IGS2015</setSpec>
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<metadata><dc>
<publisher>HAL CCSD</publisher>
<title lang=en>An algorithm based on visual perception for handwriting comparison</title>
<creator>Parziale, Antonio</creator>
<creator>Davino, Stanislao</creator>
<creator>Marcelli, Angelo</creator>
<contributor>Natural Computation Lab, Department of Information Engineering, Electrical Engineering and Applied Mathematics ; University of Salerno (UNISA)</contributor>
<description>International audience</description>
<source>17th Biennial Conference of the International Graphonomics Society</source>
<coverage>Pointe-à-Pitre, Guadeloupe</coverage>
<contributor>International Graphonomics Society (IGS)</contributor>
<contributor>Université des Antilles (UA)</contributor>
<contributor>Céline Rémi</contributor>
<contributor>Lionel Prévost</contributor>
<contributor>Eric Anquetil</contributor>
<identifier>hal-01165766</identifier>
<identifier>https://hal.univ-antilles.fr/hal-01165766</identifier>
<identifier>https://hal.univ-antilles.fr/hal-01165766/document</identifier>
<identifier>https://hal.univ-antilles.fr/hal-01165766/file/IGS_2015_submission_5.pdf</identifier>
<source>https://hal.univ-antilles.fr/hal-01165766</source>
<source>Céline Rémi; Lionel Prévost; Eric Anquetil. 17th Biennial Conference of the International Graphonomics Society, Jun 2015, Pointe-à-Pitre, Guadeloupe. 2015, Drawing, Handwriting Processing Analysis: New Advances and Challenges</source>
<language>en</language>
<subject lang=en>handwriting</subject>
<subject lang=en>algorithm</subject>
<subject>[INFO] Computer Science [cs]</subject>
<type>info:eu-repo/semantics/conferenceObject</type>
<type>Conference papers</type>
<description lang=en>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.</description>
<date>2015-06-21</date>
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