Towards FHR biometric identification: a comparison between compression and entropy based approaches

• Tipo: Artigo em Livro de Atas de Conferência Internacional
• Data: 2018

Autores

Castro, L (Autor) FMUP; teixeira, a (Autor) Outra; Santos, M (Autor) Outra; Cristina Costa Santos (Autor) FMUP; Brás, S (Autor) Outra

Ata de Conferência Internacional

Título: 31st IEEE International Symposium on Computer-Based Medical Systems, CBMS 2018, Karlstad, Sweden, June 18-21, 2018

Páginas: 440-441

31st IEEE International Symposium on Computer-Based Medical Systems, CBMS 2018

18 June 2018 through 21 June 2018

Indexação

ISI Web of Knowledge - 2 Citações

Scopus - 2 Citações

Outras Informações

ID Authenticus: P-00P-E6F

DOI: 10.1109/cbms.2018.00085

Abstract (EN): In this study, fetal heart rate signal is used to exemplify the performance of compression and entropy based approaches in biometric identification. A total of 167 pairs of traces from real fetus are analyzed under the popular normalized compression distance, the recently proposed normalized relative compression measure and mutual information measure. The best performance was achieved with the normalized compression distance resulting in a misclassification rate of 12%. Fetal heart rate could be a relevant feature for biometric identification models, namely in multiple pregnancies. © 2018 IEEE.

Idioma: Inglês

Tipo (Avaliação Docente): Científica

Nº de páginas: 2