Rozendo, Guilherme Botazzo [UNESP]do Nascimento, Marcelo ZanchettaRoberto, Guilherme Freirede Faria, Paulo RogérioSilva, Adriano BarbosaTosta, Thaína Aparecida AzevedoNeves, Leandro Alves [UNESP]2023-03-012023-03-012022-08-01Software Impacts, v. 13.2665-9638http://hdl.handle.net/11449/241203We present the Sample Entropy Signatures method, which provides a new way to represent images via Sample entropy (SampEn). The proposed method defines texture signatures from multiple SampEn values obtained from combinations of the parameters m and r. Here, m signatures were determined (m ranging from 1 to 4), with r points each (r ranging from 0.06 to 0.4), and the behavior of each signature was determined by the metrics: area under the curve, skewness, maximum entropy value, and area ratio. This approach aimed to improve the quantitative capacity of SampEn and provide a new interpretation of its values.engFeature extractionPattern recognitionSampEn signaturesSample entropySignature metricsTexture signaturesArtigo10.1016/j.simpa.2022.1003292-s2.0-85132535569