Detail publikace

Suitable Embedding to Find Similarity Between Left and Right Retinas of a Person

BISWAS, S. ROHDIN, J. DRAHANSKÝ, M.

Originální název

Suitable Embedding to Find Similarity Between Left and Right Retinas of a Person

Typ

článek ve sborníku ve WoS nebo Scopus

Jazyk

angličtina

Originální abstrakt

It is often argued among biometric researchers that the left and right retinas of the same person are as different as the retinas of two different persons. However, in our previous work we showed that by looking at retinal images human volunteers can find some similarity and tell whether a pair of the left and right retinal images belongs to a single person or to two different persons. We also showed that using cosine similarity between the embedded vectors of two retinal images it is possible to find the correct right retinal image for a left retinal image more than what could be expected by chance. In this paper we investigate which type of embedding can give us better cosine similarity measurement between the left and right retinal images of a person.

Klíčová slova

eye retina, similarity

Autoři

BISWAS, S.; ROHDIN, J.; DRAHANSKÝ, M.

Vydáno

19. 10. 2019

Nakladatel

IEEE Computer Society

Místo

Suzhou

ISBN

978-1-7281-4852-6

Kniha

Proceedings of the 12th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics

Strany od

1

Strany do

6

Strany počet

6

URL

https://www.fit.vut.cz/research/publication/11259/

BibTex

@inproceedings{BUT161410,
  author="Sangeeta {Biswas} and Johan Andréas {Rohdin} and Martin {Drahanský}",
  title="Suitable Embedding to Find Similarity Between Left and Right Retinas of a Person",
  booktitle="Proceedings of the 12th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics",
  year="2019",
  pages="1--6",
  publisher="IEEE Computer Society",
  address="Suzhou",
  doi="10.1109/CISP-BMEI48845.2019.8965917",
  isbn="978-1-7281-4852-6",
  url="https://www.fit.vut.cz/research/publication/11259/"
}