Publication Details

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

BISWAS Sangeeta, ROHDIN Johan A. and DRAHANSKÝ Martin. Suitable Embedding to Find Similarity Between Left and Right Retinas of a Person. In: Proceedings of the 12th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics. Suzhou: IEEE Computer Society, 2019, pp. 1-6. ISBN 978-1-7281-4852-6.
Czech title
Vhodné vkládání k nalezení podobnosti mezi levou a pravou sítnicí osoby
Type
conference paper
Language
english
Authors
Keywords

eye retina, similarity

Abstract

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.

Published
2019
Pages
1-6
Proceedings
Proceedings of the 12th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics
Conference
12th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics, Huaqiao, CN
ISBN
978-1-7281-4852-6
Publisher
IEEE Computer Society
Place
Suzhou, CN
DOI
EID Scopus
BibTeX
@INPROCEEDINGS{FITPUB11259,
   author = "Sangeeta Biswas and A. Johan Rohdin and Martin Drahansk\'{y}",
   title = "Suitable Embedding to Find Similarity Between Left and Right Retinas of a Person",
   pages = "1--6",
   booktitle = "Proceedings of the 12th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics",
   year = 2019,
   location = "Suzhou, CN",
   publisher = "IEEE Computer Society",
   ISBN = "978-1-7281-4852-6",
   doi = "10.1109/CISP-BMEI48845.2019.8965917",
   language = "english",
   url = "https://www.fit.vut.cz/research/publication/11259"
}
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